Abstract
Wikidata is evolving as the hub of Linked Open Data (LOD), with its language-neutral URIs and close adherence to Wikipedia. Well defined URIs help the data to be interoperable and linkable. This paper examines the possibilities of utilizing Wikidata as the means of a vocabulary resource for promoting the use of linkable concepts. Digital curation projects are vibrant with varying demands and purposes, which makes them less suitable for adopting any common vocabularies or ontologies. Also, developing and maintaining custom vocabularies are expensive processes for smaller projects in terms of resources and skill requirements. In general, Wikidata entities are well documented with Wikipedia entries, and Wikipedia entries express the conceptual and hierarchical relations in detail with provisions to modify or create. The authors explain the concept of using Wikidata as a vocabulary source with a proof of concept module implementation for Omeka-S, a widely adapted open source digital curation platform. This paper is expected to show some practical insights on reliable an reasonable vocabulary development for social informatics as well as cultural heritage projects, with a notion to improve the quality and quantity of linkable data from digital curation projects.
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References
Burgstaller-Muehlbacher, S., et al.: Wikidata as a semantic framework for the Gene Wiki initiative. Database 2016, January 2016. https://doi.org/10.1093/database/baw015. https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183
Erxleben, F., Günther, M., Krötzsch, M., Mendez, J., Vrandečić, D.: Introducing Wikidata to the linked data web. In: Mika, P., et al. (eds.) ISWC 2014. LNCS, vol. 8796, pp. 50–65. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11964-9_4
Freire, N., Isaac, A.: Wikidata’s linked data for cultural heritage digital resources: an evaluation based on the Europeana data model. In: Proceedings of the 2019 International Conference on Dublin Core and Metadata Applications, DCMI 2019, Dublin Core Metadata Initiative, pp. 59–68 (2019)
Fukuda, K.: Using Wikidata as work authority for video games. In: Proceedings of the 2019 International Conference on Dublin Core and Metadata Applications, DCMI 2019, Dublin Core Metadata Initiative, pp. 80–87 (2019)
Gelati, F.: Archival Authority Records as Linked Data thanks to Wikidata, schema.org and the Records in Context Ontology, September 2019. https://doi.org/10.5281/zenodo.3465304
Gelati, F.: Personen-Datenbank Zeitgeschichte: Code Pre- Release, October 2019. https://doi.org/10.5281/zenodo.3484706
Hepp, M.: GoodRelations: an ontology for describing products and services offers on the web. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 329–346. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-87696-0_29
Hepp, M., Siorpaes, K., Bachlechner, D.: Harvesting wiki consensus: using Wikipedia entries as vocabulary for knowledge management. IEEE Internet Comput. 11(5), 54–65 (2007). https://doi.org/10.1109/MIC.2007.110
Malyshev, S., Krötzsch, M., González, L., Gonsior, J., Bielefeldt, A.: Getting the most out of Wikidata: semantic technology usage in Wikipedia’s knowledge graph. In: Vrandečić, D., et al. (eds.) ISWC 2018. LNCS, vol. 11137, pp. 376–394. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00668-6_23
Sauermann, L., Cyganiak, R.: Cool URIs for the semantic web. W3C note, W3C, December 2008. https://www.w3.org/TR/2008/NOTE-cooluris-20081203/
Snyder, E., Lorenzo, L., Mak, L.: Linked open data for subject discovery: assessing the alignment between library of congress vocabularies and Wikidata. In: Proceedings of the 2019 International Conference on Dublin Core and Metadata Applications, DCMI 2019, Dublin Core Metadata Initiative, pp. 12–20 (2019)
Ogbuji, U.: Introduction to Wikidata as a platform and data source, November 2018. https://developer.ibm.com/technologies/artificial-intelligence/articles/use-wikidata-in-ai-and-cognitive-applications-pt1/
Acknowledgments
This work was supported by JSPS KAKENHI Grant Number JP18K11984.
The authors acknowledge the Omeka Team, for developing Omeka-S, a wonderful open-source Semantic Web digital curation platform software, and the ValueSuggest module.
This paper uses icon of ‘computer user’ (https://thenounproject.com/term/computer-user/1577369) by bezier master from the Noun Project, licensed under Creative Commons CCBY.
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Thalhath, N., Nagamori, M., Sakaguchi, T., Sugimoto, S. (2021). Wikidata Centric Vocabularies and URIs for Linking Data in Semantic Web Driven Digital Curation. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_31
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