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ORCIDJens Lehmann 0001
Person information
- affiliation: Amazon Alexa AI, Dresden, Germany
- affiliation: TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Germany
- affiliation (former): University of Bonn, Institute for Computer Science, Germany
- affiliation (former): Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
- affiliation (former): University of Oxford, DIADEM, UK
- affiliation (former, PhD 2010): Leipzig University, Department of Computer Science, Germany
Other persons with the same name
- Jens Lehmann 0002 — IHP Microelectronics, Frankfurt (Oder), Germany
- Jens Lehmann 0003 — FernUniversität Hagen, Germany
- Jens Lehmann 0004
![[0000-0002-4670-7517]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4670-7517")
— Medical University of Innsbruck, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Austria
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2020 – today
- 2024
[j54]Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati:
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert Syst. Appl. 249: 123645 (2024)- [j53]Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi, Sahar Vahdati:
Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources. Trans. Assoc. Comput. Linguistics 12: 786-802 (2024) - [j52]Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati:
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. Trans. Mach. Learn. Res. 2024 (2024) - [c257]Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens Lehmann:
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources. ACL (Findings) 2024: 16110-16121 - [c256]Kossi Amouzouvi, Bowen Song, Sahar Vahdati, Jens Lehmann:
Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. LREC/COLING 2024: 9832-9842 - [c255]Farhad Safaei, Milos Nenadovic, Jakob Wittenstein, Jens Lehmann, Sahar Vahdati:
X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning. ECAI 2024: 4719-4726 - [c254]Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati:
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) 2024: 199-217 - [c253]Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann, Andrea Pierleoni:
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking. NAACL (Industry Track) 2024: 119-130 - [c252]Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem:
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. NAACL-HLT 2024: 4225-4237 - [d1]Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández:
CLEP. Zenodo, 2024
- [i81]Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali:
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? CoRR abs/2402.13703 (2024) - [i80]Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann, Andrea Pierleoni:
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking. CoRR abs/2404.12788 (2024) - [i79]Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem:
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. CoRR abs/2405.02750 (2024) - [i78]Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens Lehmann:
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources. CoRR abs/2406.04670 (2024) - 2023
- [j51]Shimaa Ibrahim, Said Fathalla, Jens Lehmann, Hajira Jabeen:
Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment. IEEE Access 11: 8581-8599 (2023) - [j50]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach. Enterp. Inf. Syst. 17(7) (2023) - [j49]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. Int. J. Semantic Comput. 17(2): 199-221 (2023) - [j48]Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7050-7062 (2023) - [j47]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(5): 4838-4851 (2023) - [c251]Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, Steffen Staab:
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. ACL (Findings) 2023: 7165-7179 - [c250]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) 2023: 10038-10055 - [c249]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. AIKE 2023: 46-53 - [c248]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention is All You Need. CIKM 2023: 4752-4758 - [c247]Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - [c246]Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi:
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. EMNLP (Findings) 2023: 5422-5429 - [c245]Peerat Limkonchotiwat, Weiwei Cheng, Christos Christodoulopoulos, Amir Saffari, Jens Lehmann:
mReFinED: An Efficient End-to-End Multilingual Entity Linking System. EMNLP (Findings) 2023: 15080-15089 - [c244]Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati:
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) 2023: 601-616 - [c243]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs. ICSC 2023: 204-211 - [c242]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces. ISWC 2023: 388-407 - [i77]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention Is All You Need. CoRR abs/2304.03103 (2023) - [i76]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. CoRR abs/2305.12416 (2023) - 2022
- [j46]Md. Rashad Al Hasan Rony, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann:
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs. IEEE Access 10: 50467-50478 (2022) - [j45]Md. Rashad Al Hasan Rony, Uttam Kumar, Roman Teucher, Liubov Kovriguina, Jens Lehmann:
SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions. IEEE Access 10: 70712-70723 (2022) - [j44]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Mojtaba Nayyeri, Karishma Mohiuddin, M. S. T. Mahfuja Akter, Sahar Vahdati, Jens Lehmann:
Language Model Guided Knowledge Graph Embeddings. IEEE Access 10: 76008-76020 (2022) - [j43]Patrick Westphal, Tobias Grubenmann, Diego Collarana, Simon Bin, Lorenz Bühmann, Jens Lehmann:
Spatial concept learning and inference on geospatial polygon data. Knowl. Based Syst. 241: 108233 (2022) - [j42]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8825-8845 (2022) - [j41]Cedric Möller, Jens Lehmann, Ricardo Usbeck:
Survey on English Entity Linking on Wikidata: Datasets and approaches. Semantic Web 13(6): 925-966 (2022) - [c241]Md. Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann:
RoMe: A Robust Metric for Evaluating Natural Language Generation. ACL (1) 2022: 5645-5657 - [c240]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. AIKE 2022: 1-8 - [c239]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning. AIKE 2022: 53-60 - [c238]Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. CIKM 2022: 925-934 - [c237]Mojtaba Nayyeri, Sahar Vahdati, Md Tansen Khan, Mirza Mohtashim Alam, Lisa Wenige, Andreas Behrend, Jens Lehmann:
Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion. ESWC 2022: 253-269 - [c236]Md. Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann:
Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering. IJCAI 2022: 5249-5252 - [c235]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI 2022: 5259-5263 - [c234]Md. Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann:
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation. NAACL-HLT (Findings) 2022: 2557-2571 - [c233]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs. ICSC 2022: 243-250 - [c232]Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann:
Time-aware Entity Alignment using Temporal Relational Attention. WWW 2022: 788-797 - [e14]Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar:
Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, October 26th, 2021. CEUR Workshop Proceedings 3119, CEUR-WS.org 2022 [contents] - [i75]Chengjin Xu, Fenglong Su, Jens Lehmann:
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. CoRR abs/2203.02150 (2022) - [i74]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Semab Ali, Jens Lehmann, Sahar Vahdati:
Language Model-driven Negative Sampling. CoRR abs/2203.04703 (2022) - [i73]Md. Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann:
RoMe: A Robust Metric for Evaluating Natural Language Generation. CoRR abs/2203.09183 (2022) - [i72]Md. Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann:
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation. CoRR abs/2204.09149 (2022) - [i71]Klaudia-Doris Thellmann, Bernhard Stadler, Ricardo Usbeck, Jens Lehmann:
Transformer with Tree-order Encoding for Neural Program Generation. CoRR abs/2206.13354 (2022) - [i70]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces. CoRR abs/2208.02743 (2022) - [i69]Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs. CoRR abs/2208.06734 (2022) - [i68]Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. CoRR abs/2210.04373 (2022) - 2021
- [j40]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j39]Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández:
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations. Bioinform. 37(19): 3311-3318 (2021) - [j38]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j37]Italo Lopes Oliveira, Renato Fileto, René Speck, Luís Paulo F. Garcia, Diego Moussallem, Jens Lehmann:
Towards holistic Entity Linking: Survey and directions. Inf. Syst. 95: 101624 (2021) - [j36]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22: 82:1-82:6 (2021) - [j35]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings. J. Data Intell. 2(3): 326-347 (2021) - [j34]Arthur Lackner, Said Fathalla, Mojtaba Nayyeri, Andreas Behrend, Rainer Manthey, Sören Auer, Jens Lehmann, Sahar Vahdati:
Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. Scientometrics 126(9): 8129-8151 (2021) - [j33]Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer:
Introduction to neural network-based question answering over knowledge graphs. WIREs Data Mining Knowl. Discov. 11(3) (2021) - [c231]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. AAAI 2021: 9064-9072 - [c230]Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann:
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer. ACL/IJCNLP (1) 2021: 7028-7041 - [c229]Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. CIKM 2021: 4465-4474 - [c228]Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann:
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. EACL 2021: 504-514 - [c227]Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova:
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. EACL 2021: 850-862 - [c226]Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 - [c225]Rostislav Nedelchev, Jens Lehmann, Ricardo Usbeck:
Proxy Indicators for the Quality of Open-domain Dialogues. EMNLP (1) 2021: 7834-7855 - [c224]Chengjin Xu, Fenglong Su, Jens Lehmann:
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. EMNLP (1) 2021: 8999-9010 - [c223]Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) 2021: 9529-9548 - [c222]Nico Wilhelm, Diego Collarana, Jens Lehmann:
A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics. ESWC (Satellite Events) 2021: 245-248 - [c221]Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Jens Lehmann:
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers. ESWC 2021: 323-339 - [c220]Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh Thakkar, Jens Lehmann:
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs. ESWC 2021: 356-371 - [c219]Endri Kacupaj, Barshana Banerjee, Kuldeep Singh, Jens Lehmann:
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation. ESWC 2021: 598-613 - [c218]Farshad Bakhshandegan Moghaddam, Carsten Draschner, Jens Lehmann, Hajira Jabeen:
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor. SEMANTiCS 2021: 74-88 - [c217]Afshin Sadeghi, Xhulia Shahini, Martin Schmitz, Jens Lehmann:
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. SEMANTiCS (Posters & Demos) 2021 - [c216]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets. KEOD 2021: 51-60 - [c215]Diego Esteves, José Marcelino, Piyush Chawla, Asja Fischer, Jens Lehmann:
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. IDA 2021: 89-100 - [c214]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c213]Patrick Westphal, Sahar Vahdati, Jens Lehmann:
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP 2021: 266-281 - [c212]Farshad Bakhshandegan Moghaddam, Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen:
Semantic Web Analysis with Flavor of Micro-Services. LAMBDA-PhD 2021: 5-12 - [c211]Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Semantic Analytics in the Palm of your Browser. LAMBDA-PhD 2021: 13-20 - [c210]Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann:
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. NAACL-HLT 2021: 2569-2578 - [c209]Afshin Sadeghi, Hirra Malik, Diego Collarana, Jens Lehmann:
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task. NeurIPS Datasets and Benchmarks 2021 - [c208]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - [c207]Afshin Sadeghi, Diego Collarana, Damien Graux, Jens Lehmann:
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities. ECML/PKDD (2) 2021: 548-564 - [c206]Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh, Jens Lehmann, Maria Maleshkova:
VOGUE: Answer Verbalization Through Multi-Task Learning. ECML/PKDD (3) 2021: 563-579 - [c205]Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen:
DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs. ICSC 2021: 333-336 - [c204]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC 2021: 74-92 - [c203]Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth:
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. SIGIR 2021: 2565-2569 - [c202]Tobias Grubenmann, Jens Lehmann:
Geolog: Scalable Logic Programming on Spatial Data. ICLP Technical Communications 2021: 191-204 - [e13]Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp:
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. CEUR Workshop Proceedings 2997, CEUR-WS.org 2021 [contents] - [i67]Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann:
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. CoRR abs/2101.09969 (2021) - [i66]Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh Thakkar, Jens Lehmann:
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs. CoRR abs/2103.07766 (2021) - [i65]Endri Kacupaj, Barshana Banerjee, Kuldeep Singh, Jens Lehmann:
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation. CoRR abs/2103.07771 (2021) - [i64]Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Jens Lehmann:
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers. CoRR abs/2103.16289 (2021) - [i63]Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova:
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. CoRR abs/2104.01569 (2021) - [i62]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR abs/2104.05003 (2021) - [i61]Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth:
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. CoRR abs/2104.14994 (2021) - [i60]Debanjali Biswas, Mohnish Dubey, Md. Rashad Al Hasan Rony, Jens Lehmann:
VANiLLa : Verbalized Answers in Natural Language at Large Scale. CoRR abs/2105.11407 (2021) - [i59]Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh, Jens Lehmann, Maria Maleshkova:
VOGUE: Answer Verbalization through Multi-Task Learning. CoRR abs/2106.13316 (2021) - [i58]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - [i57]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR abs/2107.04894 (2021) - [i56]Cedric Möller, Jens Lehmann, Ricardo Usbeck:
Survey on English Entity Linking on Wikidata. CoRR abs/2112.01989 (2021) - [i55]Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar:
Semantic Answer Type and Relation Prediction Task (SMART 2021). CoRR abs/2112.07606 (2021) - 2020
- [j32]Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access 8: 196459-196471 (2020) - [j31]Fathoni A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann, Hajira Jabeen:
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Syst. Appl. 147: 113135 (2020) - [j30]Hamid Zafar, Mohnish Dubey, Jens Lehmann, Elena Demidova:
IQA: Interactive query construction in semantic question answering systems. J. Web Semant. 64: 100586 (2020) - [j29]Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann:
No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph. J. Web Semant. 65: 100594 (2020) - [j28]Claus Stadler, Simon Bin, Lisa Wenige, Lorenz Bühmann, Jens Lehmann:
Schema-agnostic SPARQL-driven faceted search benchmark generation. J. Web Semant. 65: 100614 (2020) - [c201]Hajira Jabeen, Jonas Weinz, Jens Lehmann:
AutoChef: Automated Generation of Cooking Recipes. CEC 2020: 1-7 - [c200]Isaiah Onando Mulang', Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann:
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models. CIKM 2020: 2157-2160 - [c199]Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, Jens Lehmann:
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities. CIKM 2020: 2967-2974 - [c198]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. COLING 2020: 530-544 - [c197]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. COLING 2020: 1583-1593 - [c196]Rostislav Nedelchev, Jens Lehmann, Ricardo Usbeck:
Language Model Transformers as Evaluators for Open-domain Dialogues. COLING 2020: 6797-6808 - [c195]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings. DEXA (2) 2020: 179-194 - [c194]Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann:
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI 2020: 28-35 - [c193]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI 2020: 36-42 - [c192]Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann:
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. ECAI 2020: 1427-1434 - [c191]Hamid Zafar, Maryam Tavakol, Jens Lehmann:
Distantly Supervised Question Parsing. ECAI 2020: 2290-2297 - [c190]Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann:
Message Passing for Hyper-Relational Knowledge Graphs. EMNLP (1) 2020: 7346-7359 - [c189]Zeynep Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Ontology Design for Pharmaceutical Research Outcomes. TPDL 2020: 119-132 - [c188]Mirza Mohtashim Alam, Hajira Jabeen, Mehdi Ali, Karishma Mohiuddin, Jens Lehmann:
Affinity Dependent Negative Sampling for Knowledge Graph Embeddings. DL4KG@ESWC 2020 - [c187]Minh Triet Chau, Diego Esteves, Jens Lehmann:
A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction. CLEOPATRA@ESWC 2020: 17-31 - [c186]Jason Armitage, Shramana Thakur, Rishi Tripathi, Maria Maleshkova, Jens Lehmann:
Training Multimodal Systems for Classification with Multiple Objectives. CLEOPATRA@ESWC 2020: 57-71 - [c185]Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann:
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC 2020: 255-270 - [c184]Endri Kacupaj, Hamid Zafar, Jens Lehmann, Maria Maleshkova:
VQuAnDa: Verbalization QUestion ANswering DAtaset. ESWC 2020: 531-547 - [c183]Damien Graux, Gezim Sejdiu, Claus Stadler, Giulio Napolitano, Jens Lehmann:
MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries. SEMANTiCS 2020: 104-117 - [c182]Aysegul Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Semantic Representation of Physics Research Data. KEOD 2020: 64-75 - [c181]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
A Distributed Approach for Parsing Large-scale OWL Datasets. KEOD 2020: 227-234 - [c180]Fathoni A. Musyaffa, Jens Lehmann, Hajira Jabeen:
Cross-administration comparative analysis of open fiscal data. ICEGOV 2020: 459-468 - [c179]Samin Payrosangari, Afshin Sadeghi, Damien Graux, Jens Lehmann:
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine. IDEAL (2) 2020: 335-347 - [c178]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann:
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. IJCNN 2020: 1-9 - [c177]Rostislav Nedelchev, Ricardo Usbeck, Jens Lehmann:
Treating Dialogue Quality Evaluation as an Anomaly Detection Problem. LREC 2020: 508-512 - [c176]Hajira Jabeen, Eskender Haziiev, Gezim Sejdiu, Jens Lehmann:
DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data. ICSC 2020: 400-407 - [c175]Harsh Thakkar, Renzo Angles, Marko Rodriguez, Stephen Mallette, Jens Lehmann:
Let's build Bridges, not Walls: SPARQL Querying of TinkerPop Graph Databases with Sparql-Gremlin. ICSC 2020: 408-415 - [c174]Jewgeni Rose, Jens Lehmann:
CASQAD - A New Dataset for Context-Aware Spatial Question Answering. ISWC (2) 2020: 3-17 - [c173]Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey, Jens Lehmann:
PNEL: Pointer Network Based End-To-End Entity Linking over Knowledge Graphs. ISWC (1) 2020: 21-38 - [c172]Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann:
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 - [c171]Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. ISWC (1) 2020: 654-671 - [c170]Shimaa Ibrahim, Said Fathalla, Jens Lehmann, Hajira Jabeen:
Multilingual Ontology Merging Using Cross-lingual Matching. WI/IAT 2020: 113-120 - [c169]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
OWLStats: Distributed Computation of OWL Dataset Statistics. WI/IAT 2020: 381-386 - [e12]Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck:
Proceedings of the SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual Conference, November 5th, 2020. CEUR Workshop Proceedings 2774, CEUR-WS.org 2020 [contents] - [i54]Firas Kassawat, Debanjan Chaudhuri, Jens Lehmann:
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning. CoRR abs/2001.10468 (2020) - [i53]Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann:
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. CoRR abs/2001.10560 (2020) - [i52]Gezim Sejdiu, Anisa Rula, Jens Lehmann, Hajira Jabeen:
A Scalable Framework for Quality Assessment of RDF Datasets. CoRR abs/2001.11100 (2020) - [i51]Denis Lukovnikov, Asja Fischer, Jens Lehmann:
Pretrained Transformers for Simple Question Answering over Knowledge Graphs. CoRR abs/2001.11985 (2020) - [i50]Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann, Asja Fischer:
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings. CoRR abs/2002.11143 (2020) - [i49]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings. CoRR abs/2006.04556 (2020) - [i48]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. CoRR abs/2006.04986 (2020) - [i47]Hamid Zafar, Mohnish Dubey, Jens Lehmann, Elena Demidova:
IQA: Interactive Query Construction in Semantic Question Answering Systems. CoRR abs/2006.11534 (2020) - [i46]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR abs/2006.13365 (2020) - [i45]Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Improving the Long-Range Performance of Gated Graph Neural Networks. CoRR abs/2007.09668 (2020) - [i44]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR abs/2007.14175 (2020) - [i43]Isaiah Onando Mulang', Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann:
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models. CoRR abs/2008.05190 (2020) - [i42]Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, Jens Lehmann:
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities. CoRR abs/2008.06376 (2020) - [i41]Jason Armitage, Shramana Thakur, Rishi Tripathi, Jens Lehmann, Maria Maleshkova:
Training Multimodal Systems for Classification with Multiple Objectives. CoRR abs/2008.11450 (2020) - [i40]Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey, Jens Lehmann:
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs. CoRR abs/2009.00106 (2020) - [i39]Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann:
Message Passing for Hyper-Relational Knowledge Graphs. CoRR abs/2009.10847 (2020) - [i38]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. CoRR abs/2010.00989 (2020) - [i37]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. CoRR abs/2010.01029 (2020) - [i36]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati:
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR abs/2010.06684 (2020) - [i35]Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck:
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. CoRR abs/2012.00555 (2020)
2010 – 2019
- 2019
- [j27]Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann, Hajira Jabeen:
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings. Bioinform. 35(18): 3538-3540 (2019) - [j26]Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho:
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52(5): 107:1-107:34 (2019) - [j25]Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163: 693-704 (2019) - [j24]Patrick Westphal, Lorenz Bühmann, Simon Bin, Hajira Jabeen, Jens Lehmann:
SML-Bench - A benchmarking framework for structured machine learning. Semantic Web 10(2): 231-245 (2019) - [j23]Anisa Rula, Matteo Palmonari, Simone Rubinacci, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Andrea Maurino, Diego Esteves:
TISCO: Temporal scoping of facts. J. Web Semant. 54: 72-86 (2019) - [c168]Spiros Athanasiou, Giorgos Giannopoulos, Damien Graux, Nikos Karagiannakis, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Kostas Patroumpas, Mohamed Ahmed Sherif, Dimitrios Skoutas:
Big POI data integration with Linked Data technologies. EDBT 2019: 477-488 - [c167]Sattar Rahimbayli, Jens Lehmann, Thomas M. Deserno:
Pay for Performance in Electronic Data Capture for Clinical Trials and Medical Registries. EFMI-STC 2019: 221-225 - [c166]Piyush Chawla, Diego Esteves, Karthik Pujar, Jens Lehmann:
SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification. EPIA (2) 2019: 244-255 - [c165]Rajjat Dadwal, Damien Graux, Gezim Sejdiu, Hajira Jabeen, Jens Lehmann:
Clustering Pipelines of Large RDF POI Data. ESWC (Satellite Events) 2019: 24-27 - [c164]Shimaa Ibrahim, Said Fathalla, Hamed Shariat Yazdi, Jens Lehmann, Hajira Jabeen:
OECM: A Cross-Lingual Approach for Ontology Enrichment. ESWC (Satellite Events) 2019: 100-104 - [c163]Firas Kassawat, Debanjan Chaudhuri, Jens Lehmann:
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-task Learning. ESWC 2019: 225-239 - [c162]Hajira Jabeen, Nargis Tahara, Jens Lehmann:
EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts. EvoMUSART 2019: 156-172 - [c161]Shimaa Ibrahim, Said Fathalla, Hamed Shariat Yazdi, Jens Lehmann, Hajira Jabeen:
From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment. SEMANTiCS 2019: 215-230 - [c160]Gezim Sejdiu, Damien Graux, Imran Khan, Ioanna Lytra, Hajira Jabeen, Jens Lehmann:
Towards a Scalable Semantic-Based Distributed Approach for SPARQL Query Evaluation. SEMANTiCS 2019: 295-309 - [c159]Danning Sui, Gezim Sejdiu, Damien Graux, Jens Lehmann:
The Hubs and Authorities Transaction Network Analysis using the SANSA framework. SEMANTiCS (Posters & Demos) 2019 - [c158]Fahad Maqbool, Muhammad Saad Razzaq, Jens Lehmann, Hajira Jabeen:
Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA). ICIC (1) 2019: 424-435 - [c157]Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, Jens Lehmann:
Uniform Access to Multiform Data Lakes using Semantic Technologies. iiWAS 2019: 313-322 - [c156]Ahmad Sakor, Isaiah Onando Mulang', Kuldeep Singh, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann, Sören Auer:
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text. NAACL-HLT (1) 2019: 2336-2346 - [c155]Abdelrahman Abdelkawi, Hamid Zafar, Maria Maleshkova, Jens Lehmann:
Complex Query Augmentation for Question Answering over Knowledge Graphs. OTM Conferences 2019: 571-587 - [c154]Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. PKDD/ECML Workshops (1) 2019: 622-630 - [c153]Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann:
Improving Access to Science for Social Good. PKDD/ECML Workshops (1) 2019: 658-673 - [c152]Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann:
The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. ISWC (2) 2019: 3-18 - [c151]Mohnish Dubey, Debayan Banerjee, Abdelrahman Abdelkawi, Jens Lehmann:
LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia. ISWC (2) 2019: 69-78 - [c150]Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Simon Jordan, Jens Lehmann:
Using a KG-Copy Network for Non-goal Oriented Dialogues. ISWC (1) 2019: 93-109 - [c149]Johannes Frey, Marvin Hofer, Daniel Obraczka, Jens Lehmann, Sebastian Hellmann:
DBpedia FlexiFusion the Best of Wikipedia > Wikidata > Your Data. ISWC (2) 2019: 96-112 - [c148]Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, Jens Lehmann:
Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources. ISWC (2) 2019: 229-245 - [c147]Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann:
Predicting Missing Links Using PyKEEN. ISWC (Satellites) 2019: 245-248 - [c146]Qaiser Mehmood, Abhishek Nadgeri, Muhammad Saleem, Kuldeep Singh, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
Microbenchmarks for Question Answering Systems Using QaldGen. ISWC (Satellites) 2019: 261-264 - [c145]Gezim Sejdiu, Anisa Rula, Jens Lehmann, Hajira Jabeen:
A Scalable Framework for Quality Assessment of RDF Datasets. ISWC (2) 2019: 261-276 - [c144]Kuldeep Singh, Muhammad Saleem, Abhishek Nadgeri, Felix Conrads, Jeff Z. Pan, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
QaldGen: Towards Microbenchmarking of Question Answering Systems over Knowledge Graphs. ISWC (2) 2019: 277-292 - [c143]Claus Stadler, Gezim Sejdiu, Damien Graux, Jens Lehmann:
Querying Large-scale RDF Datasets Using the SANSA Framework. ISWC (Satellites) 2019: 285-288 - [c142]Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, Jens Lehmann:
How to Feed the Squerall with RDF and Other Data Nuts? ISWC (Satellites) 2019: 293-296 - [c141]Claus Stadler, Gezim Sejdiu, Damien Graux, Jens Lehmann:
Sparklify: A Scalable Software Component for Efficient Evaluation of SPARQL Queries over Distributed RDF Datasets. ISWC (2) 2019: 293-308 - [c140]Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Incorporating Literals into Knowledge Graph Embeddings. ISWC (1) 2019: 347-363 - [c139]Denis Lukovnikov, Asja Fischer, Jens Lehmann:
Pretrained Transformers for Simple Question Answering over Knowledge Graphs. ISWC (1) 2019: 470-486 - [c138]Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov, Nilesh Chakraborty, Asja Fischer, Jens Lehmann:
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. ISWC (1) 2019: 487-504 - [c137]Anisa Rula, Matteo Palmonari, Simone Rubinacci, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Andrea Maurino, Diego Esteves:
TISCO: Temporal Scoping of Facts. WWW (Companion Volume) 2019: 959-960 - [e11]David Chaves-Fraga, Pieter Heyvaert, Freddy Priyatna, Juan F. Sequeda, Anastasia Dimou, Hajira Jabeen, Damien Graux, Gezim Sejdiu, Mohammed Saleem, Jens Lehmann:
Joint Proceedings of the 1st International Workshop on Knowledge Graph Building and 1st International Workshop on Large Scale RDF Analytics co-located with 16th Extended Semantic Web Conference (ESWC 2019), Portorož, Slovenia, June 3, 2019. CEUR Workshop Proceedings 2489, CEUR-WS.org 2019 [contents] - [i34]Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR abs/1904.12211 (2019) - [i33]Afshin Sadeghi, Damien Graux, Jens Lehmann:
MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. CoRR abs/1905.10702 (2019) - [i32]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann:
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. CoRR abs/1907.05336 (2019) - [i31]Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer:
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs. CoRR abs/1907.09361 (2019) - [i30]Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. CoRR abs/1908.02571 (2019) - [i29]Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann:
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs. CoRR abs/1908.05098 (2019) - [i28]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. CoRR abs/1908.07141 (2019) - [i27]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann:
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. CoRR abs/1909.00519 (2019) - [i26]Hamid Zafar, Maryam Tavakol, Jens Lehmann:
MDP-based Shallow Parsing in Distantly Supervised QA Systems. CoRR abs/1909.12566 (2019) - [i25]Uwe Petersohn, Sandra Zimmer, Jens Lehmann:
Method for the semantic indexing of concept hierarchies, uniform representation, use of relational database systems and generic and case-based reasoning. CoRR abs/1910.01539 (2019) - [i24]Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar, Simon Scerri, Sören Auer, Jens Lehmann:
The Query Translation Landscape: a Survey. CoRR abs/1910.03118 (2019) - [i23]Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Simon Jordan, Jens Lehmann:
Using a KG-Copy Network for Non-Goal Oriented Dialogues. CoRR abs/1910.07834 (2019) - [i22]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi:
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. CoRR abs/1911.07893 (2019) - [i21]Harsh Thakkar, Renzo Angles, Dominik Tomaszuk, Jens Lehmann:
Direct Mappings between RDF and Property Graph Databases. CoRR abs/1912.02127 (2019) - [i20]Isaiah Onando Mulang', Kuldeep Singh, Akhilesh Vyas, Saeedeh Shekarpour, Ahmad Sakor, Maria-Esther Vidal, Sören Auer, Jens Lehmann:
Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph. CoRR abs/1912.06214 (2019) - [i19]Minh Triet Chau, Diego Esteves, Jens Lehmann:
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction. CoRR abs/1912.11334 (2019) - 2018
- [j22]Diego Esteves, Anisa Rula, Aniketh Janardhan Reddy, Jens Lehmann:
Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis. ACM J. Data Inf. Qual. 9(3): 16:1-16:26 (2018) - [j21]Maribel Acosta, Amrapali Zaveri, Elena Simperl, Dimitris Kontokostas, Fabian Flöck, Jens Lehmann:
Detecting Linked Data quality issues via crowdsourcing: A DBpedia study. Semantic Web 9(3): 303-335 (2018) - [j20]Ali Ismayilov, Dimitris Kontokostas, Sören Auer, Jens Lehmann, Sebastian Hellmann:
Wikidata through the eyes of DBpedia. Semantic Web 9(4): 493-503 (2018) - [c136]Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann, Asja Fischer:
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge. CoNLL 2018: 497-507 - [c135]Najmeh Mousavi Nejad, Simon Scerri, Jens Lehmann:
KnIGHT: Mapping Privacy Policies to GDPR. EKAW 2018: 258-272 - [c134]Hajira Jabeen, Rajjat Dadwal, Gezim Sejdiu, Jens Lehmann:
Divided We Stand Out! Forging Cohorts fOr Numeric Outlier Detection in Large Scale Knowledge Graphs (CONOD). EKAW 2018: 534-548 - [c133]Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann:
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. FEVER@EMNLP 2018: 50-59 - [c132]Hamid Zafar, Giulio Napolitano, Jens Lehmann:
Formal Query Generation for Question Answering over Knowledge Bases. ESWC 2018: 714-728 - [c131]Harsh Thakkar, Dharmen Punjani, Jens Lehmann, Sören Auer:
Two for one: querying property graph databases using SPARQL via gremlinator. GRADES/NDA@SIGMOD/PODS 2018: 12:1-12:5 - [c130]Damien Graux, Gezim Sejdiu, Hajira Jabeen, Jens Lehmann, Danning Sui, Dominik Muhs, Johannes Pfeffer:
Profiting from Kitties on Ethereum: Leveraging Blockchain RDF with SANSA. SEMANTiCS (Posters & Demos) 2018 - [c129]Patrick Westphal, Javier D. Fernández, Sabrina Kirrane, Jens Lehmann:
SPIRIT: A Semantic Transparency and Compliance Stack. SEMANTiCS (Posters & Demos) 2018 - [c128]Claus Stadler, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
Efficiently Pinpointing SPARQL Query Containments. ICWE 2018: 210-224 - [c127]Diego Collarana, Timm Heuss, Jens Lehmann, Ioanna Lytra, Gaurav Maheshwari, Rostislav Nedelchev, Thorsten Schmidt, Priyansh Trivedi:
A Question Answering System on Regulatory Documents. JURIX 2018: 41-50 - [c126]Hamid Zafar, Giulio Napolitano, Jens Lehmann:
Deep Query Ranking for Question Answering over Knowledge Bases. ECML/PKDD (3) 2018: 635-638 - [c125]Muhammad Saleem, Qaiser Mehmood, Claus Stadler, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Generating SPARQL Query Containment Benchmarks Using the SQCFramework. ISWC (P&D/Industry/BlueSky) 2018 - [c124]Debayan Banerjee, Mohnish Dubey, Debanjan Chaudhuri, Jens Lehmann:
Joint Entity and Relation Linking Using EARL. ISWC (P&D/Industry/BlueSky) 2018 - [c123]Mohnish Dubey, Debayan Banerjee, Debanjan Chaudhuri, Jens Lehmann:
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs. ISWC (1) 2018: 108-126 - [c122]Gezim Sejdiu, Ivan Ermilov, Jens Lehmann, Mohamed Nadjib Mami:
DistLODStats: Distributed Computation of RDF Dataset Statistics. ISWC (2) 2018: 206-222 - [c121]Gezim Sejdiu, Ivan Ermilov, Mohamed Nadjib Mami, Jens Lehmann:
STATisfy Me: What Are My Stats? ISWC (P&D/Industry/BlueSky) 2018 - [c120]Lorenz Bühmann, Jens Lehmann, Patrick Westphal, Simon Bin:
DL-Learner Structured Machine Learning on Semantic Web Data. WWW (Companion Volume) 2018: 467-471 - [c119]Steffen Staab, Jens Lehmann, Ruben Verborgh:
Structured Knowledge on the Web 7.0. WWW (Companion Volume) 2018: 885-886 - [c118]Kuldeep Singh, Arun Sethupat Radhakrishna, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange, Maria-Esther Vidal, Jens Lehmann, Sören Auer:
Why Reinvent the Wheel: Let's Build Question Answering Systems Together. WWW 2018: 1247-1256 - [e10]Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, Jens Lehmann:
Workshop on Linked Data on the Web co-located with The Web Conference 2018, LDOW@WWW 2018, Lyon, France April 23rd, 2018. CEUR Workshop Proceedings 2073, CEUR-WS.org 2018 [contents] - [i18]Harsh Thakkar, Dharmen Punjani, Yashwant Keswani, Jens Lehmann, Sören Auer:
A Stitch in Time Saves Nine - SPARQL querying of Property Graphs using Gremlin Traversals. CoRR abs/1801.02911 (2018) - [i17]Mohnish Dubey, Debayan Banerjee, Debanjan Chaudhuri, Jens Lehmann:
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs. CoRR abs/1801.03825 (2018) - [i16]Harsh Thakkar, Dharmen Punjani, Jens Lehmann, Sören Auer:
Killing Two Birds with One Stone - Querying Property Graphs using SPARQL via GREMLINATOR. CoRR abs/1801.09556 (2018) - [i15]Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Incorporating Literals into Knowledge Graph Embeddings. CoRR abs/1802.00934 (2018) - [i14]Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann:
Formal Ontology Learning from English IS-A Sentences. CoRR abs/1802.03701 (2018) - [i13]Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho:
How Complex is your classification problem? A survey on measuring classification complexity. CoRR abs/1808.03591 (2018) - [i12]Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann:
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. CoRR abs/1809.00494 (2018) - [i11]Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann, Asja Fischer:
Improving Response Selection in Multi-turn Dialogue Systems. CoRR abs/1809.03194 (2018) - [i10]Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann:
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph. CoRR abs/1809.10044 (2018) - [i9]Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov, Nilesh Chakraborty, Asja Fischer, Jens Lehmann:
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. CoRR abs/1811.01118 (2018) - [i8]Denis Lukovnikov, Nilesh Chakraborty, Jens Lehmann, Asja Fischer:
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters. CoRR abs/1811.05303 (2018) - 2017
- [j19]Konrad Höffner, Sebastian Walter, Edgard Marx, Ricardo Usbeck, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Survey on challenges of Question Answering in the Semantic Web. Semantic Web 8(6): 895-920 (2017) - [c117]Simon Bin, Patrick Westphal, Jens Lehmann, Axel Ngonga:
Implementing scalable structured machine learning for big data in the SAKE project. IEEE BigData 2017: 1400-1407 - [c116]Hajira Jabeen, Phil Archer, Simon Scerri, Aad Versteden, Ivan Ermilov, Giannis Mouchakis, Jens Lehmann, Sören Auer:
Big Data Europe. EDBT/ICDT Workshops 2017 - [c115]Claus Stadler, Jens Lehmann:
JPA Criteria Queries over RDF Data. RSP+QuWeDa@ESWC 2017: 55-62 - [c114]Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
Wombat - A Generalization Approach for Automatic Link Discovery. ESWC (1) 2017: 103-119 - [c113]Harsh Thakkar, Yashwant Keswani, Mohnish Dubey, Jens Lehmann, Sören Auer:
Trying Not to Die Benchmarking: Orchestrating RDF and Graph Data Management Solution Benchmarks Using LITMUS. SEMANTiCS 2017: 120-127 - [c112]Henning Petzka, Claus Stadler, Georgios Katsimpras, Bastian Haarmann, Jens Lehmann:
Benchmarking Faceted Browsing Capabilities of Triplestores. SEMANTiCS 2017: 128-135 - [c111]Sören Auer, Simon Scerri, Aad Versteden, Erika Pauwels, Angelos Charalambidis, Stasinos Konstantopoulos, Jens Lehmann, Hajira Jabeen, Ivan Ermilov, Gezim Sejdiu, Andreas Ikonomopoulos, Spyros Andronopoulos, Mandy Vlachogiannis, Charalambos Pappas, Athanasios Davettas, Iraklis A. Klampanos, Efstathios Grigoropoulos, Vangelis Karkaletsis, Victor de Boer, Ronald Siebes, Mohamed Nadjib Mami, Sergio Albani, Michele Lazzarini, Paulo Nunes, Emanuele Angiuli, Nikiforos Pittaras, George Giannakopoulos, Giorgos Argyriou, George Stamoulis, George Papadakis, Manolis Koubarakis, Pythagoras Karampiperis, Axel-Cyrille Ngonga Ngomo, Maria-Esther Vidal:
The BigDataEurope Platform - Supporting the Variety Dimension of Big Data. ICWE 2017: 41-59 - [c110]Diego Esteves, Rafael Peres, Jens Lehmann, Giulio Napolitano:
Named Entity Recognition in Twitter Using Images and Text. ICWE Workshops 2017: 191-199 - [c109]Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani, Kunal Jha, Sourish Dasgupta, Jens Lehmann:
SimDoc: Topic Sequence Alignment based Document Similarity Framework. K-CAP 2017: 16:1-16:8 - [c108]Muhammad Saleem, Claus Stadler, Qaiser Mehmood, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
SQCFramework: SPARQL Query Containment Benchmark Generation Framework. K-CAP 2017: 28:1-28:8 - [c107]Ivan Ermilov, Axel-Cyrille Ngonga Ngomo, Aad Versteden, Hajira Jabeen, Gezim Sejdiu, Giorgos Argyriou, Luigi Selmi, Jürgen Jakobitsch, Jens Lehmann:
Managing Lifecycle of Big Data Applications. KESW 2017: 263-276 - [c106]Edgard Marx, Saeedeh Shekarpour, Tommaso Soru, Adrian M. P. Brasoveanu, Muhammad Saleem, Ciro Baron, Albert Weichselbraun, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Sören Auer:
Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. ICSC 2017: 149-156 - [c105]Felix Conrads, Jens Lehmann, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo:
Benchmarking RDF Storage Solutions with IGUANA. ISWC (Posters, Demos & Industry Tracks) 2017 - [c104]Felix Conrads, Jens Lehmann, Muhammad Saleem, Mohamed Morsey, Axel-Cyrille Ngonga Ngomo:
Iguana: A Generic Framework for Benchmarking the Read-Write Performance of Triple Stores. ISWC (2) 2017: 48-65 - [c103]Ivan Ermilov, Jens Lehmann, Gezim Sejdiu, Lorenz Bühmann, Patrick Westphal, Claus Stadler, Simon Bin, Nilesh Chakraborty, Henning Petzka, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Hajira Jabeen:
The Tale of Sansa Spark. ISWC (Posters, Demos & Industry Tracks) 2017 - [c102]Jens Lehmann, Gezim Sejdiu, Lorenz Bühmann, Patrick Westphal, Claus Stadler, Ivan Ermilov, Simon Bin, Nilesh Chakraborty, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Hajira Jabeen:
Distributed Semantic Analytics Using the SANSA Stack. ISWC (2) 2017: 147-155 - [c101]Gaurav Maheshwari, Mohnish Dubey, Priyansh Trivedi, Jens Lehmann:
How to Revert Question Answering on Knowledge Graphs. ISWC (Posters, Demos & Industry Tracks) 2017 - [c100]Wouter Maroy, Anastasia Dimou, Dimitris Kontokostas, Ben De Meester, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann:
Sustainable Linked Data Generation: The Case of DBpedia. ISWC (2) 2017: 297-313 - [c99]Ben De Meester, Anastasia Dimou, Wouter Maroy, Dimitris Kontokostas, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann:
A Vocabulary-Independent Generation Framework for DBpedia and Beyond. ISWC (Posters, Demos & Industry Tracks) 2017 - [c98]Priyansh Trivedi, Gaurav Maheshwari, Mohnish Dubey, Jens Lehmann:
LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs. ISWC (2) 2017: 210-218 - [c97]Diego Esteves, Diego Moussallem, Tommaso Soru, Ciro Baron Neto, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Julio Cesar Duarte:
LOG4MEX: a library to export machine learning experiments. WI 2017: 139-145 - [c96]Denis Lukovnikov, Asja Fischer, Jens Lehmann, Sören Auer:
Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. WWW 2017: 1211-1220 - [c95]Jens Lehmann, Sören Auer, Sarven Capadisli, Krzysztof Janowicz, Christian Bizer, Tom Heath, Aidan Hogan, Tim Berners-Lee:
LDOW2017: 10th Workshop on Linked Data on the Web. WWW (Companion Volume) 2017: 1679-1680 - [e9]Sören Auer, Tim Berners-Lee, Christian Bizer, Sarven Capadisli, Tom Heath, Krzysztof Janowicz, Jens Lehmann:
Workshop on Linked Data on the Web co-located with 26th International World Wide Web Conference (WWW 2017). CEUR Workshop Proceedings, CEUR-WS.org 2017 [contents] - [i7]Ricardo Usbeck, Michael Hoffmann, Michael Röder, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Using Multi-Label Classification for Improved Question Answering. CoRR abs/1710.08634 (2017) - [i6]Diego Esteves, Rafael Peres, Jens Lehmann, Giulio Napolitano:
Named Entity Recognition in Twitter using Images and Text. CoRR abs/1710.11027 (2017) - 2016
- [j18]Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, Sören Auer:
Quality assessment for Linked Data: A Survey. Semantic Web 7(1): 63-93 (2016) - [j17]Konrad Höffner, Michael Martin, Jens Lehmann:
LinkedSpending: OpenSpending becomes Linked Open Data. Semantic Web 7(1): 95-104 (2016) - [j16]Lorenz Bühmann, Jens Lehmann, Patrick Westphal:
DL-Learner - A framework for inductive learning on the Semantic Web. J. Web Semant. 39: 15-24 (2016) - [c94]Simon Bin, Lorenz Bühmann, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Towards SPARQL-Based Induction for Large-Scale RDF Data Sets. ECAI 2016: 1551-1552 - [c93]Giuseppe Rizzo, Nicola Fanizzi, Jens Lehmann, Lorenz Bühmann:
Integrating New Refinement Operators in Terminological Decision Trees Learning. EKAW 2016: 511-526 - [c92]Umair ul Hassan, Amrapali Zaveri, Edgard Marx, Edward Curry, Jens Lehmann:
ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment. EKAW 2016: 681-696 - [c91]Mohnish Dubey, Sourish Dasgupta, Ankit Sharma, Konrad Höffner, Jens Lehmann:
AskNow: A Framework for Natural Language Query Formalization in SPARQL. ESWC 2016: 300-316 - [c90]Dimitris Kontokostas, Christian Mader, Christian Dirschl, Katja Eck, Michael Leuthold, Jens Lehmann, Sebastian Hellmann:
Semantically Enhanced Quality Assurance in the JURION Business Use Case. ESWC 2016: 661-676 - [c89]Edgard Marx, Amrapali Zaveri, Mofeed Mohamed Hassan, Sandro Rautenberg, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Gong Cheng:
DBtrends: Publishing and Benchmarking RDF Ranking Functions. SumPre@ESWC 2016 - [c88]Diego Esteves, Pablo N. Mendes, Diego Moussallem, Julio Cesar Duarte, Amrapali Zaveri, Jens Lehmann:
MEX Interfaces: Automating Machine Learning Metadata Generation. SEMANTiCS 2016: 17-24 - [c87]Edgard Marx, Konrad Höffner, Saeedeh Shekarpour, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Sören Auer:
Exploring Term Networks for Semantic Search over RDF Knowledge Graphs. MTSR 2016: 249-261 - [c86]Anastasia Dimou, Dimitris Kontokostas, Markus Freudenberg, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann:
DBpedia Mappings Quality Assessment. ISWC (Posters & Demos) 2016 - [c85]Ivan Ermilov, Jens Lehmann, Michael Martin, Sören Auer:
LODStats: The Data Web Census Dataset. ISWC (2) 2016: 38-46 - [c84]Mohamed Ahmed Sherif, Mofeed Mohamed Hassan, Tommaso Soru, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
Lion's Den: feeding the LinkLion. OM@ISWC 2016: 235-236 - [c83]Konrad Höffner, Jens Lehmann, Ricardo Usbeck:
CubeQA - Question Answering on RDF Data Cubes. ISWC (1) 2016: 325-340 - [e8]Heiko Paulheim, Jens Lehmann, Vojtech Svátek, Craig A. Knoblock, Matthew Horridge, Patrick Lambrix, Bijan Parsia:
Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and the 1st International Workshop on Completing and Debugging the Semantic Web (Know@LOD-2016, CoDeS-2016) co-located with 13th ESWC 2016, Heraklion, Greece, May 30th, 2016. CEUR Workshop Proceedings 1586, CEUR-WS.org 2016 [contents] - [i5]Harsh Thakkar, Mohnish Dubey, Gezim Sejdiu, Axel-Cyrille Ngonga Ngomo, Jeremy Debattista, Christoph Lange, Jens Lehmann, Sören Auer, Maria-Esther Vidal:
LITMUS: An Open Extensible Framework for Benchmarking RDF Data Management Solutions. CoRR abs/1608.02800 (2016) - [i4]Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani, Kunal Jha, Sourish Dasgupta, Jens Lehmann:
SimDoc: Topic Sequence Alignment based Document Similarity Framework. CoRR abs/1611.04822 (2016) - 2015
- [j15]Jens Lehmann, Óscar Corcho:
2nd special issue on Linked Dataset Descriptions. Semantic Web 6(2): 103-104 (2015) - [j14]Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer:
DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web 6(2): 167-195 (2015) - [j13]Daniel Gerber, Diego Esteves, Jens Lehmann, Lorenz Bühmann, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, René Speck:
DeFacto - Temporal and multilingual Deep Fact Validation. J. Web Semant. 35: 85-101 (2015) - [c82]Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
Automating RDF Dataset Transformation and Enrichment. ESWC 2015: 371-387 - [c81]Ivan Ermilov, Konrad Hoeffner, Jens Lehmann, Dmitry Mouromtsev:
kOre: Using Linked Data for OpenScience Information Integration. SEMANTiCS (Posters & Demos) 2015: 67-70 - [c80]Andreas Both, Matthias Wauer, Alejandra García-Rojas, Daniel Hladky, Jens Lehmann:
The GeoKnow Generator Workbench - An Integrated Tool Supporting the Linked Data Lifecycle for Enterprise Usage. SEMANTiCS (Posters & Demos) 2015: 92-95 - [c79]Claus Stadler, Natanael Arndt, Michael Martin, Jens Lehmann:
RDF Editing on the Web. SEMANTiCS (Posters & Demos) 2015: 96-99 - [c78]Diego Esteves, Diego Moussallem, Ciro Baron Neto, Tommaso Soru, Ricardo Usbeck, Markus Ackermann, Jens Lehmann:
MEX vocabulary: a lightweight interchange format for machine learning experiments. SEMANTiCS 2015: 169-176 - [c77]Marco Fossati, Dimitris Kontokostas, Jens Lehmann:
Unsupervised learning of an extensive and usable taxonomy for DBpedia. SEMANTiCS 2015: 177-184 - [c76]Anastasia Dimou, Dimitris Kontokostas, Markus Freudenberg, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann, Rik Van de Walle:
Assessing and Refining Mappings to RDF to Improve Dataset Quality. ISWC (2) 2015: 133-149 - [c75]Anastasia Dimou, Dimitris Kontokostas, Markus Freudenberg, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann, Rik Van de Walle:
Test-driven Assessment of [R2]RML Mappings to Improve Dataset Quality. ISWC (Posters & Demos) 2015 - [c74]Diego Esteves, Diego Moussallem, Ciro Baron Neto, Jens Lehmann, Maria Cláudia Cavalcanti, Julio Cesar Duarte:
Interoperable Machine Learning Metadata using MEX. ISWC (Posters & Demos) 2015 - [c73]Magnus Knuth, Jens Lehmann, Dimitris Kontokostas, Thomas Steiner, Harald Sack:
The DBpedia Events Dataset. ISWC (Posters & Demos) 2015 - [c72]Edgard Marx, Tommaso Soru, Diego Esteves, Axel-Cyrille Ngonga Ngomo, Jens Lehmann:
An Open Question Answering Framework. ISWC (Posters & Demos) 2015 - [c71]Gaurav Vaidya, Dimitris Kontokostas, Magnus Knuth, Jens Lehmann, Sebastian Hellmann:
DBpedia Commons: Structured Multimedia Metadata from the Wikimedia Commons. ISWC (2) 2015: 281-289 - [c70]Mofeed Mohamed Hassan, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Interlinking: Performance Assessment of User Evaluation vs. Supervised Learning Approaches. LDOW@WWW 2015 - [c69]Claus Stadler, Jörg Unbehauen, Patrick Westphal, Mohamed Ahmed Sherif, Jens Lehmann:
Simplified RDB2RDF Mapping. LDOW@WWW 2015 - [p5]Jens Lehmann, Spiros Athanasiou, Andreas Both, Alejandra García-Rojas, Giorgos Giannopoulos, Daniel Hladky, Jon Jay Le Grange, Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif, Claus Stadler, Matthias Wauer, Patrick Westphal, Vadim Zaslawski:
Managing Geospatial Linked Data in the GeoKnow Project. Semantic Web Enabled Software Engineering 2015: 51-78 - [e7]Johanna Völker, Heiko Paulheim, Jens Lehmann, Vojtech Svátek:
Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015), Portoroz, Slovenia, May 31, 2015. CEUR Workshop Proceedings 1365, CEUR-WS.org 2015 [contents] - [i3]Ali Ismayilov, Dimitris Kontokostas, Sören Auer, Jens Lehmann, Sebastian Hellmann:
Wikidata through the Eyes of DBpedia. CoRR abs/1507.04180 (2015) - 2014
- [b2]Jens Lehmann, Johanna Völker:
Perspectives on Ontology Learning. Studies on the Semantic Web 18, IOS Press 2014, ISBN 978-1-61499-378-0, pp. 1-281 - [j12]Michael Martin, Claus Stadler, Philipp Frischmuth, Jens Lehmann:
Increasing the financial transparency of European Commission project funding. Semantic Web 5(2): 157-164 (2014) - [c68]Lorenz Bühmann, Daniel Fleischhacker, Jens Lehmann, André Melo, Johanna Völker:
Inductive Lexical Learning of Class Expressions. EKAW 2014: 42-53 - [c67]Didier Cherix, Ricardo Usbeck, Andreas Both, Jens Lehmann:
CROCUS: Cluster-based Ontology Data Cleansing. WaSABi-FEOSW@ESWC 2014 - [c66]Didier Cherix, Ricardo Usbeck, Andreas Both, Jens Lehmann:
Lessons Learned - The Case of CROCUS: Cluster-Based Ontology Data Cleansing. ESWC (Satellite Events) 2014: 14-24 - [c65]