iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://unpaywall.org/10.1007/978-3-031-21422-6_21
Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph | SpringerLink
Skip to main content

Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph

  • Conference paper
  • First Online:
Knowledge Graphs and Semantic Web (KGSWC 2022)

Abstract

The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://medium.com/@thisismattmiller/wikibase-for-research-infrastructure-part-1-d3f640dfad34.

References

  1. Wikidata:wikibase, May (2022). https://cutt.ly/aLF2R6Y Accessed 16 July 2022

  2. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 34–43 (2001)

    Article  Google Scholar 

  3. Jeroen De Dauw. Semantic mediawiki vs wikibase vs cargo, May (2022). https://cutt.ly/5LnHLQP Accessed 20 Jun 2022

  4. Diefenbach, D., Wilde, M.D., Alipio, S.: Wikibase as an infrastructure for knowledge graphs: the EU knowledge graph. In: Hotho, A., et al. (eds.) ISWC 2021. LNCS, vol. 12922, pp. 631–647. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88361-4_37

    Chapter  Google Scholar 

  5. Cecilia Eberendu, A., et al.: Unstructured data: an overview of the data of big data. Int. J. Comput. Trends Technol. 38(1), 46–50 (2016)

    Article  Google Scholar 

  6. Enslave.org. People of the historical slave trade. https://enslaved.org/ Accessed 20 Jun 2022

  7. Pascual Espada, J., Solís Martínez, J., Cid Rico, I., Emilio Velasco Sánchez, L.: Extracting keywords of educational texts using a novel mechanism based on linguistic approaches and evolutive graphs. Expert Syst. Appl. 213, 118842 (2022)

    Google Scholar 

  8. Gorman, R., et al.: The potential of an artificial intelligence for disability advocacy: the WikiDisability project. In: Mantas, J., et al. (eds.) Public Health and Informatics, pp. 1025–1026. IOS Press, Amsterdam (2021)

    Google Scholar 

  9. Guo, K., Diefenbach, D., Gravier, C.: Towards question answering search over websites, Qanswer (2022)

    Google Scholar 

  10. Hogan, A., et al.: Knowledge Graphs. Number 22 in Synthesis Lectures on Data, Semantics, and Knowledge. Morgan & Claypool (2021)

    Google Scholar 

  11. Koren, Y.: Working with mediawiki. https://workingwithmediawiki.com/book/ Accessed 19 July 2022

  12. Li, F.-L., et al.: AliMeKG: domain knowledge graph construction and application in e-commerce. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 2581–2588 (2020)

    Google Scholar 

  13. Musen, M.A.: The protégé project: a look back and a look forward. AI Matters 1(4), 4–12 (2015)

    Article  Google Scholar 

  14. Noy, N., Gao, Y., Jain, A., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale knowledge graphs: lessons and challenges. ACM Queue, 17(2), April (2019)

    Google Scholar 

  15. Pampari, A., Raghavan, P., Liang, J., Peng, J.: emrQA: a large corpus for question answering on electronic medical records. arXiv preprint arXiv:1809.00732 (2018)

  16. Qawasmeh, O., Lefranois, M., Zimmermann, A., Maret, P.: Computer-assisted ontology construction system: focus on bootstrapping capabilities. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 11155, pp. 60–65. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98192-5_12

    Chapter  Google Scholar 

  17. Bisen, K.S., et al.: Wikibase as an infrastructure for community documents: the example of the disability wiki platform. In Semantics 2022–18th International Conference on Semantics Systems, Vienna, Austria, September (2022)

    Google Scholar 

  18. MS Yafooz, W., ZZ Abidin, S., Omar, N., Drus, Z.: Managing unstructured data in relational databases. In 2013 IEEE Conference on Systems, Process & Control (ICSPC), pp. 198–203. IEEE (2013)

    Google Scholar 

  19. Zhou, L., et al.: The enslaved dataset: a real-world complex ontology alignment benchmark using wikibase. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 3197–3204 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pierre Maret .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alemayehu, S.A. et al. (2022). Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph. In: Villazón-Terrazas, B., Ortiz-Rodriguez, F., Tiwari, S., Sicilia, MA., Martín-Moncunill, D. (eds) Knowledge Graphs and Semantic Web . KGSWC 2022. Communications in Computer and Information Science, vol 1686. Springer, Cham. https://doi.org/10.1007/978-3-031-21422-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-21422-6_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21421-9

  • Online ISBN: 978-3-031-21422-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics