{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T22:25:09Z","timestamp":1726179909597},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031214219"},{"type":"electronic","value":"9783031214226"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21422-6_15","type":"book-chapter","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T09:03:31Z","timestamp":1668243811000},"page":"201-215","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Knowledge Graphs for\u00a0Community Detection in\u00a0Textual Data"],"prefix":"10.1007","author":[{"given":"Federica","family":"Rollo","sequence":"first","affiliation":[]},{"given":"Laura","family":"Po","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,13]]},"reference":[{"key":"15_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1007\/978-3-540-76298-0_52","volume-title":"The Semantic Web","author":"S Auer","year":"2007","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC\/ISWC -2007. LNCS, vol. 4825, pp. 722\u2013735. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-76298-0_52"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Aung, T.T., Nyunt, T.T.S.: Community detection in scientific co-authorship networks using Neo4j. In: 2020 IEEE Conference on Computer Applications (ICCA), pp. 1\u20136 (2020)","DOI":"10.1109\/ICCA49400.2020.9022826"},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Bhatt, S.P., et al.: Knowledge graph enhanced community detection and characterization. In: Culpepper, J.S., Moffat, A., Bennett, P.N., Lerman, K. (eds.) Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, 11\u201315 February 2019, pp. 51\u201359. ACM (2019). https:\/\/doi.org\/10.1145\/3289600.3291031","DOI":"10.1145\/3289600.3291031"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Experiment 2008(10), P10008 (2008). https:\/\/doi.org\/10.1088\/1742-5468\/2008\/10\/p10008","DOI":"10.1088\/1742-5468\/2008\/10\/p10008"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"Bonisoli, G., Rollo, F., Po, L.: Using word embeddings for Italian crime news categorization. In: Ganzha, M., Maciaszek, L.A., Paprzycki, M., Slezak, D. (eds.) Proceedings of the 16th Conference on Computer Science and Intelligence Systems, Online, 2\u20135 September 2021. Annals of Computer Science and Information Systems, 25, pp. 461\u2013470, 2021. https:\/\/doi.org\/10.15439\/2021F118","DOI":"10.15439\/2021F118"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ins.2019.09.013","volume":"509","author":"R Campos","year":"2020","unstructured":"Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., Jatowt, A.: Yake! keyword extraction from single documents using multiple local features. Inf. Sci. 509, 257\u2013289 (2020). https:\/\/doi.org\/10.1016\/j.ins.2019.09.013","journal-title":"Inf. Sci."},{"issue":"12","key":"15_CR7","doi-asserted-by":"publisher","first-page":"9205","DOI":"10.1109\/JIOT.2021.3093065","volume":"9","author":"Q Chen","year":"2022","unstructured":"Chen, Q., Wang, W., Huang, K., Coenen, F.: Zero-shot text classification via knowledge graph embedding for social media data. IEEE Internet Things J. 9(12), 9205\u20139213 (2022)","journal-title":"IEEE Internet Things J."},{"key":"15_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/978-3-030-71711-7_31","volume-title":"Intelligent Technologies and Applications","author":"O Elezaj","year":"2021","unstructured":"Elezaj, O., Yayilgan, S.Y., Kalemi, E.: Criminal network community detection in social media forensics. In: Yildirim Yayilgan, S., Bajwa, I.S., Sanfilippo, F. (eds.) INTAP 2020. CCIS, vol. 1382, pp. 371\u2013383. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-71711-7_31"},{"key":"15_CR9","doi-asserted-by":"publisher","unstructured":"Grootendorst, M.: Keybert: minimal keyword extraction with bert (2020). https:\/\/doi.org\/10.5281\/zenodo.4461265","DOI":"10.5281\/zenodo.4461265"},{"key":"15_CR10","doi-asserted-by":"publisher","unstructured":"Hsu, P.Y., Chen, C.T., Chou, C., Huang, S.H.: Explainable mutual fund recommendation system developed based on knowledge graph embeddings. Appl. Intell. 52(9), 10779\u201310804 (2022). https:\/\/doi.org\/10.1007\/s10489-021-03136-1","DOI":"10.1007\/s10489-021-03136-1"},{"issue":"2","key":"15_CR11","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","volume":"33","author":"S Ji","year":"2022","unstructured":"Ji, S., Pan, S., Cambria, E., Marttinen, P., Yu, P.S.: A survey on knowledge graphs: representation, acquisition, and applications. IEEE Trans. Neural Netw. Learn. Syst. 33(2), 494\u2013514 (2022)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Koloski, B., Stepi\u0161nik Perdih, T., Robnik-\u0160ikonja, M., Pollak, S., \u0160krlj, B.: Knowledge graph informed fake news classification via heterogeneous representation ensembles. Neurocomputing 496, 208\u2013226 (2022). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231222001199","DOI":"10.1016\/j.neucom.2022.01.096"},{"key":"15_CR13","doi-asserted-by":"publisher","unstructured":"Mendes, P.N., Jakob, M., Garc\u00eda-Silva, A., Bizer, C.: Dbpedia spotlight: shedding light on the web of documents. In: Ghidini, C., Ngomo, A.N., Lindstaedt, S.N., Pellegrini, T. (eds.) Proceedings the 7th International Conference on Semantic Systems, I-SEMANTICS 2011, Graz, Austria, 7\u20139 September 2011, pp. 1\u20138. ACM International Conference Proceeding Series, ACM (2011). https:\/\/doi.org\/10.1145\/2063518.2063519","DOI":"10.1145\/2063518.2063519"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Nigam, V.V., Paul, S., Agrawal, A.P., Bansal, R.: A review paper on the application of knowledge graph on various service providing platforms. In: 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 716\u2013720 (2020)","DOI":"10.1109\/Confluence47617.2020.9058298"},{"key":"15_CR15","doi-asserted-by":"publisher","unstructured":"Po, L., Rollo, F.: Building an urban theft map by analyzing newspaper crime reports. In: 13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018, Zaragoza, Spain, 6\u20137 September 2018, pp. 13\u201318. IEEE (2018). https:\/\/doi.org\/10.1109\/SMAP.2018.8501866","DOI":"10.1109\/SMAP.2018.8501866"},{"key":"15_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-319-53640-8_6","volume-title":"Semantic Keyword-Based Search on Structured Data Sources","author":"L Po","year":"2017","unstructured":"Po, L., Rollo, F., Trillo Lado, R.: Topic detection in multichannel Italian newspapers. In: Cal\u00ec, A., Gorgan, D., Ugarte, M. (eds.) IKC 2016. LNCS, vol. 10151, pp. 62\u201375. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-53640-8_6"},{"key":"15_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/978-3-030-86970-0_4","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2021","author":"AM Rinaldi","year":"2021","unstructured":"Rinaldi, A.M., Russo, C., Tommasino, C.: Web document categorization using knowledge graph and semantic textual topic detection. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12951, pp. 40\u201351. Springer, Web document categorization using knowledge graph and semantic textual topic detection (2021). https:\/\/doi.org\/10.1007\/978-3-030-86970-0_4"},{"key":"15_CR18","doi-asserted-by":"publisher","unstructured":"Rollo, F.: A key-entity graph for clustering multichannel news: student research abstract. In: Seffah, A., Penzenstadler, B., Alves, C., Peng, X. (eds.) Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, 3\u20137 April 2017, pp. 699\u2013700. ACM (2017). https:\/\/doi.org\/10.1145\/3019612.3019930","DOI":"10.1145\/3019612.3019930"},{"key":"15_CR19","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-030-98997-2_6","volume-title":"Information Technology for Management: Business and Social Issues","author":"F Rollo","year":"2022","unstructured":"Rollo, F., Bonisoli, G., Po, L.: Supervised and unsupervised categorization of an imbalanced Italian crime news dataset. In: Ziemba, E., Chmielarz, W. (eds.) FedCSIS-AIST\/ISM -2021. LNBIP, vol. 442, pp. 117\u2013139. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-98997-2_6"},{"key":"15_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/978-3-030-62466-8_23","volume-title":"The Semantic Web \u2013 ISWC 2020","author":"F Rollo","year":"2020","unstructured":"Rollo, F., Po, L.: Crime event localization and\u00a0deduplication. In: Pan, J.Z., et al. (eds.) ISWC 2020. LNCS, vol. 12507, pp. 361\u2013377. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-62466-8_23"},{"key":"15_CR21","unstructured":"Rollo, F., Po, L., Bonisoli, G.: Online news event extraction for crime analysis. In: Amato, G., Bartalesi, V., Bianchini, D., Gennaro, C., Torlone, R. (eds.) Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19\u201322, 2022. CEUR Workshop Proceedings, vol. 3194, pp. 223\u2013230. CEUR-WS.org (2022). http:\/\/ceur-ws.org\/Vol-3194\/paper28.pdf"},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"50467","DOI":"10.1109\/ACCESS.2022.3173355","volume":"10","author":"MRAH Rony","year":"2022","unstructured":"Rony, M.R.A.H., Chaudhuri, D., Usbeck, R., Lehmann, J.: Tree-KGQA: an unsupervised approach for question answering over knowledge graphs. IEEE Access 10, 50467\u201350478 (2022)","journal-title":"IEEE Access"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Rose, S., Engel, D., Cramer, N., Cowley, W.: Automatic Keyword Extraction from Individual Documents, chap. 1, pp. 1\u201320. Wiley (2010). https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/9780470689646.ch1","DOI":"10.1002\/9780470689646.ch1"},{"key":"15_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/978-3-319-25010-6_12","volume-title":"The Semantic Web - ISWC 2015","author":"P Szekely","year":"2015","unstructured":"Szekely, P., et al.: Building and using a knowledge graph to combat human trafficking. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 205\u2013221. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25010-6_12"},{"key":"15_CR25","doi-asserted-by":"publisher","unstructured":"Tosi, M.D.L., dos Reis, J.C.: Understanding the evolution of a scientific field by clustering and visualizing knowledge graphs. J. Inf. Sci. 48(1), 71\u201389 (2022). https:\/\/doi.org\/10.1177\/0165551520937915","DOI":"10.1177\/0165551520937915"}],"container-title":["Communications in Computer and Information Science","Knowledge Graphs and Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21422-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,13]],"date-time":"2022-11-13T19:16:48Z","timestamp":1668367008000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21422-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031214219","9783031214226"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21422-6_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"13 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KGSWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Knowledge Graphs and Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Madrid","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kgswc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.kgswc.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"63","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}
