SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis. Dobryi, D. & Polleres, A. In Meroño-Peñuela, A., Dimou, A., Troncy, R., Hartig, O., Acosta, M., Alam, M., Paulheim, H., & Lisena, P., editors, Proceedings of the 21st European Semantic Web Conference (ESWC2024), volume 14665, of Lecture Notes in Computer Science (LNCS), pages 145–161, Hersonissos, Greece, May, 2024. springer.
doi  abstract   bibtex   
Semantic wikis have become an increasingly popular means of collaboratively managing Knowledge Graphs. They are powered by platforms such as Semantic MediaWiki and Wikibase, both of which enable MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to collect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systematically collecting structured data from an extensive corpus of Semantic-MediaWiki-powered portals and providing an in-depth analysis of the ontological diversity and re-use amongst these wikis using a variety of ontological metrics. Our paper aims to demonstrate that semantic wikis are a valuable and extensive part of Linked Open Data and, in fact, may be considered an active ``sub-cloud'' within the Linked Open Data ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.
@inproceedings{dobr-poll-2024ESWC,
 title = {{SMW Cloud}: A Corpus of Domain-Specific Knowledge Graphs from {Semantic} {MediaWikis}},
 year = 2024,
 author = {Daniil Dobryi and Axel Polleres},
 abstract ={Semantic wikis have become an increasingly popular means of collaboratively managing Knowledge Graphs. They are powered by platforms such as Semantic MediaWiki and Wikibase, both of which enable MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to collect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systematically collecting structured data from an extensive corpus of Semantic-MediaWiki-powered portals and providing an in-depth analysis of the ontological diversity and re-use amongst these wikis using a variety of ontological metrics. Our paper aims to demonstrate that semantic wikis are a valuable and extensive part of Linked Open Data and, in fact, may be considered an active ``sub-cloud'' within the Linked Open Data ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.},
booktitle = {Proceedings of the 21st European Semantic Web Conference (ESWC2024)},
pages = {145--161},
day = {26--30},
month = may,
Address = {Hersonissos, Greece},
publisher = springer,
series = lncs,
volume = 14665,
doi          = {10.1007/978-3-031-60635-9\_9},
editor = {Albert Mero{\~{n}}o{-}Pe{\~{n}}uela and
                  Anastasia Dimou and
                  Rapha{\"{e}}l Troncy and
                  Olaf Hartig and
                  Maribel Acosta and
                  Mehwish Alam and
                  Heiko Paulheim and
                  Pasquale Lisena}, 
}

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