Comparing DBpedia, Wikidata, and YAGO for web information retrieval

Sini Govinda Pillai; Lay-Ki Soon; Su-Cheng Haw

doi:10.1007/978-981-13-6031-2_40

Comparing DBpedia, Wikidata, and YAGO for web information retrieval

Sini Govinda Pillai, Lay-Ki Soon, Su-Cheng Haw

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

12 Citations (Scopus)

Abstract

Knowledge graphs serve as the primary sources of structured data in many Semantic Web applications. In this paper, the three most popular cross-domain knowledge graphs (KGs), namely, DBpedia, YAGO, and Wikidata were empirically explored and compared. These knowledge graphs were compared from the perspectives of completeness of the relations, timeliness of the data and accessibility of the KG. Three fundamental categories of named entities were queried within the KGs for detailed analysis of the data returned. From the experimental results and findings, Wikidata scores the highest in term of the timeliness of the data provided owing to the effort of global community update, with DBpedia LIVE being the next. Regarding accessibility, it was observed that DBpedia and Wikidata gave continuous access using public SPARQL endpoint, while YAGO endpoints were intermittently inaccessible. With respect to completeness of predicates, none of the KGs have a remarkable lead for any of the selected categories. From the analysis, it is observed that none of the KG can be considered complete on its own with regard to the relations of an entity.

Original language	English
Title of host publication	Intelligent and Interactive Computing - Proceedings of IIC 2018
Editors	Vincenzo Piuri, Valentina Emilia Balas, Samarjeet Borah, Sharifah Sakinah Syed Ahmad
Place of Publication	Singapore Singapore
Publisher	Springer
Pages	525-535
Number of pages	11
ISBN (Electronic)	9789811360312
ISBN (Print)	9789811360305
DOIs	https://doi.org/10.1007/978-981-13-6031-2_40
Publication status	Published - 2019
Externally published	Yes
Event	International Conference on Intelligent and Interactive Computing 2018 - Melaka, Malaysia Duration: 8 Aug 2018 → 9 Aug 2018 Conference number: 2nd https://link.springer.com/book/10.1007/978-981-13-6031-2#about (Proceedings)

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	67
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Interactive Computing 2018
Abbreviated title	IIC 2018
Country/Territory	Malaysia
City	Melaka
Period	8/08/18 → 9/08/18
Internet address	https://link.springer.com/book/10.1007/978-981-13-6031-2#about (Proceedings)

Keywords

DBpedia
Knowledge graphs
Semantic web
Wikidata
YAGO

Access to Document

10.1007/978-981-13-6031-2_40

Cite this

Pillai, S. G., Soon, L.-K., & Haw, S.-C. (2019). Comparing DBpedia, Wikidata, and YAGO for web information retrieval. In V. Piuri, V. Emilia Balas, S. Borah, & S. Sakinah Syed Ahmad (Eds.), Intelligent and Interactive Computing - Proceedings of IIC 2018 (pp. 525-535). (Lecture Notes in Networks and Systems; Vol. 67). Springer. https://doi.org/10.1007/978-981-13-6031-2_40

Pillai, Sini Govinda ; Soon, Lay-Ki ; Haw, Su-Cheng. / Comparing DBpedia, Wikidata, and YAGO for web information retrieval. Intelligent and Interactive Computing - Proceedings of IIC 2018. editor / Vincenzo Piuri ; Valentina Emilia Balas ; Samarjeet Borah ; Sharifah Sakinah Syed Ahmad. Singapore Singapore : Springer, 2019. pp. 525-535 (Lecture Notes in Networks and Systems).

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title = "Comparing DBpedia, Wikidata, and YAGO for web information retrieval",

abstract = "Knowledge graphs serve as the primary sources of structured data in many Semantic Web applications. In this paper, the three most popular cross-domain knowledge graphs (KGs), namely, DBpedia, YAGO, and Wikidata were empirically explored and compared. These knowledge graphs were compared from the perspectives of completeness of the relations, timeliness of the data and accessibility of the KG. Three fundamental categories of named entities were queried within the KGs for detailed analysis of the data returned. From the experimental results and findings, Wikidata scores the highest in term of the timeliness of the data provided owing to the effort of global community update, with DBpedia LIVE being the next. Regarding accessibility, it was observed that DBpedia and Wikidata gave continuous access using public SPARQL endpoint, while YAGO endpoints were intermittently inaccessible. With respect to completeness of predicates, none of the KGs have a remarkable lead for any of the selected categories. From the analysis, it is observed that none of the KG can be considered complete on its own with regard to the relations of an entity.",

keywords = "DBpedia, Knowledge graphs, Semantic web, Wikidata, YAGO",

author = "Pillai, \{Sini Govinda\} and Lay-Ki Soon and Su-Cheng Haw",

note = "Funding Information: Acknowledgements This work is partially funded by Fundamental Research Grant Scheme (FRGS) by Malaysia Ministry of Higher Education (Ref: FRGS/1/2017/ICT02/MMU/02/6). Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; International Conference on Intelligent and Interactive Computing 2018, IIC 2018 ; Conference date: 08-08-2018 Through 09-08-2018",

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Pillai, SG, Soon, L-K & Haw, S-C 2019, Comparing DBpedia, Wikidata, and YAGO for web information retrieval. in V Piuri, V Emilia Balas, S Borah & S Sakinah Syed Ahmad (eds), Intelligent and Interactive Computing - Proceedings of IIC 2018. Lecture Notes in Networks and Systems, vol. 67, Springer, Singapore Singapore, pp. 525-535, International Conference on Intelligent and Interactive Computing 2018, Melaka, Malaysia, 8/08/18. https://doi.org/10.1007/978-981-13-6031-2_40

Comparing DBpedia, Wikidata, and YAGO for web information retrieval. / Pillai, Sini Govinda; Soon, Lay-Ki; Haw, Su-Cheng.
Intelligent and Interactive Computing - Proceedings of IIC 2018. ed. / Vincenzo Piuri; Valentina Emilia Balas; Samarjeet Borah; Sharifah Sakinah Syed Ahmad. Singapore Singapore: Springer, 2019. p. 525-535 (Lecture Notes in Networks and Systems; Vol. 67).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

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AU - Pillai, Sini Govinda

AU - Soon, Lay-Ki

AU - Haw, Su-Cheng

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PY - 2019

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N2 - Knowledge graphs serve as the primary sources of structured data in many Semantic Web applications. In this paper, the three most popular cross-domain knowledge graphs (KGs), namely, DBpedia, YAGO, and Wikidata were empirically explored and compared. These knowledge graphs were compared from the perspectives of completeness of the relations, timeliness of the data and accessibility of the KG. Three fundamental categories of named entities were queried within the KGs for detailed analysis of the data returned. From the experimental results and findings, Wikidata scores the highest in term of the timeliness of the data provided owing to the effort of global community update, with DBpedia LIVE being the next. Regarding accessibility, it was observed that DBpedia and Wikidata gave continuous access using public SPARQL endpoint, while YAGO endpoints were intermittently inaccessible. With respect to completeness of predicates, none of the KGs have a remarkable lead for any of the selected categories. From the analysis, it is observed that none of the KG can be considered complete on its own with regard to the relations of an entity.

AB - Knowledge graphs serve as the primary sources of structured data in many Semantic Web applications. In this paper, the three most popular cross-domain knowledge graphs (KGs), namely, DBpedia, YAGO, and Wikidata were empirically explored and compared. These knowledge graphs were compared from the perspectives of completeness of the relations, timeliness of the data and accessibility of the KG. Three fundamental categories of named entities were queried within the KGs for detailed analysis of the data returned. From the experimental results and findings, Wikidata scores the highest in term of the timeliness of the data provided owing to the effort of global community update, with DBpedia LIVE being the next. Regarding accessibility, it was observed that DBpedia and Wikidata gave continuous access using public SPARQL endpoint, while YAGO endpoints were intermittently inaccessible. With respect to completeness of predicates, none of the KGs have a remarkable lead for any of the selected categories. From the analysis, it is observed that none of the KG can be considered complete on its own with regard to the relations of an entity.

KW - DBpedia

KW - Knowledge graphs

KW - Semantic web

KW - Wikidata

KW - YAGO

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DO - 10.1007/978-981-13-6031-2_40

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BT - Intelligent and Interactive Computing - Proceedings of IIC 2018

A2 - Piuri, Vincenzo

A2 - Emilia Balas, Valentina

A2 - Borah, Samarjeet

A2 - Sakinah Syed Ahmad, Sharifah

PB - Springer

CY - Singapore Singapore

T2 - International Conference on Intelligent and Interactive Computing 2018

Y2 - 8 August 2018 through 9 August 2018

ER -

Comparing DBpedia, Wikidata, and YAGO for web information retrieval

Abstract

Publication series

Conference

Keywords

Access to Document

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