Talking Wikidata: Communication patterns and their impact on community engagement in collaborative knowledge graphs

Autor: Koutsiana, Elisavet, Reklos, Ioannis, Alghamdi, Kholoud Saad, Jain, Nitisha, Meroño-Peñuela, Albert, Simperl, Elena

We study collaboration patterns of Wikidata, one of the world's largest collaborative knowledge graph communities. Wikidata lacks long-term engagement with a small group of priceless members, 0.8%, to be responsible for 80% of contributions. Therefor

Externí odkaz: http://arxiv.org/abs/2407.18278

Analysing the Evolution of Community-Driven (Sub-)Schemas within Wikidata

Autor: Baroncini, Sofia, Martorana, Margherita, Scrocca, Mario, Śmiech, Zuzanna, Polleres, Axel

Publikováno v: Sofia Baroncini
Baroncini, S, Martorana, M, Scrocca, M, Śmiech, Z & Polleres, A 2022, Analysing the Evolution of Community-Driven (Sub-)Schemas within Wikidata . in L-A Kaffee, S Razniewski, G Amaral & K S Alghamdi (eds), Wikidata 2022 Wikidata Workshop 2022 : Proceedings of the 3rd Wikidata Workshop 2022 co-located with the 21st International Semantic Web Conference (ISWC2022) Virtual Event, Hangzhou, China, October 2022 . CEUR Workshop Proceedings, vol. 3262, CEUR-WS.org, pp. 1-8, 3rd Wikidata Workshop, Wikidata 2022, Virtual, Hanghzou, China, 24/10/22 . < https://ceur-ws.org/Vol-3262/paper5.pdf >

Wikidata is a collaborative knowledge graph not structured according to predefined ontologies. Its schema evolves in a bottom-up approach defined by its users. In this paper, we propose a methodology to investigate how semantics develop in sub-schema

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413b2bf83dd238e594474bce055c3e3e
http://star.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-3262/paper5.pdf