SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis

Daniil Dobriy; Martin Beno; Axel Polleres

doi:10.1007/978-3-031-60635-9_9

SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis

Daniil Dobriy, Martin Beno, Axel Polleres

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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 en- able MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to col- lect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systemat- ically 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 (LOD), and in fact may be considered an own active “sub-cloud” within the LOD ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	21st International Conference, ESWC 2024 Hersonissos, Crete, Greece, May 26–30, 2024 Proceedings
Place of Publication	Cham
Publisher	Springer
Number of pages	18
Volume	2
ISBN (Electronic)	978-3-031-60635-9
ISBN (Print)	978-3-031-60634-2
DOIs	https://doi.org/10.1007/978-3-031-60635-9_9
Publication status	Published - May 2024
Event	21st European Semantic Web Conference, 2024 - Aldemar Knossos Royal & Royal Villa, Hersonissos, Crete, Greece Duration: 26 May 2024 → 30 May 2024 Conference number: 21 https://2024.eswc-conferences.org

Publication series

Series	Lecture Notes in Computer Science (LNCS)
Volume	14665
ISSN	1611-3349

Conference

Conference	21st European Semantic Web Conference, 2024
Abbreviated title	ESWC
Country/Territory	Greece
City	Hersonissos, Crete
Period	26/05/24 → 30/05/24
Internet address	https://2024.eswc-conferences.org

Austrian Classification of Fields of Science and Technology (ÖFOS)

102028 Knowledge engineering
102027 Web engineering
102030 Semantic technologies
102033 Data mining
102036 Digital accessibility

Keywords

Knowledge Graphs
Linked Open Data
Ontology Links
Semantic MediaWiki
Ontology Metrics

Access to Document

10.1007/978-3-031-60635-9_9

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University Library Catalogue

Cite this

@inproceedings{2be2a0b0e7404acebba775eecf6f9902,

title = "SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis",

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 en- able MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to col- lect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systemat- ically 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 (LOD), and in fact may be considered an own active “sub-cloud” within the LOD ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.",

keywords = "Knowledge Graphs, Linked Open Data, Ontology Links, Semantic MediaWiki, Ontology Metrics",

author = "Daniil Dobriy and Martin Beno and Axel Polleres",

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language = "English",

isbn = "978-3-031-60634-2",

volume = "2",

series = "Lecture Notes in Computer Science (LNCS)",

publisher = "Springer",

booktitle = "The Semantic Web",

address = "Germany",

note = "21st European Semantic Web Conference, 2024, ESWC ; Conference date: 26-05-2024 Through 30-05-2024",

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Dobriy, D, Beno, M & Polleres, A 2024, SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis. in The Semantic Web: 21st International Conference, ESWC 2024 Hersonissos, Crete, Greece, May 26–30, 2024 Proceedings. vol. 2, Springer, Cham, Lecture Notes in Computer Science (LNCS), vol. 14665, 21st European Semantic Web Conference, 2024, Hersonissos, Crete, Greece, 26/05/24. https://doi.org/10.1007/978-3-031-60635-9_9

SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis. / Dobriy, Daniil; Beno, Martin; Polleres, Axel.
The Semantic Web: 21st International Conference, ESWC 2024 Hersonissos, Crete, Greece, May 26–30, 2024 Proceedings. Vol. 2 Cham: Springer, 2024. (Lecture Notes in Computer Science (LNCS), Vol. 14665).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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PY - 2024/5

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N2 - 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 en- able MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to col- lect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systemat- ically 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 (LOD), and in fact may be considered an own active “sub-cloud” within the LOD ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.

AB - 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 en- able MediaWiki to store and publish structured data. While there are many semantic wikis currently in use, there has been little effort to col- lect and analyse their structured data, nor to make it available for the research community. This paper seeks to address this gap by systemat- ically 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 (LOD), and in fact may be considered an own active “sub-cloud” within the LOD ecosystem, which can provide useful insights into the evolution of small and medium-sized domain-specific Knowledge Graphs.

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KW - Linked Open Data

KW - Ontology Links

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