An automatic sameAs link discovery from Wikipedia

Kosuke Kagawa; Susumu Tamagawa; Takahira Yamaguchi

doi:10.1007/978-3-319-06826-8_29

An automatic sameAs link discovery from Wikipedia

Kosuke Kagawa, Susumu Tamagawa, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Spelling variants of words or word sense ambiguity takes many costs in such processes as Data Integration, Information Searching, data pre-processing for Data Mining, and so on. It is useful to construct relations between a word or phrases and a representative name of the entity to meet these demands. To reduce the costs, this paper discusses how to automatically discover "sameAs" and "meaningOf" links from Japanese Wikipedia. In order to do so, we gathered relevant features such as IDF, string similarity, number of hypernym, and so on. We have identified the link-based score on salient features based on SVM results with 960,000 anchor link pairs. These case studies show us that our link discovery method goes well with more than 70% precision/ recall rate.

Original language	English
Title of host publication	Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	399-413
Number of pages	15
ISBN (Print)	9783319068251
DOIs	https://doi.org/10.1007/978-3-319-06826-8_29
Publication status	Published - 2014
Externally published	Yes
Event	3rd Joint International Semantic Technology Conference, JIST 2013 - Seoul, Korea, Republic of Duration: 2013 Nov 28 → 2013 Nov 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8388 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd Joint International Semantic Technology Conference, JIST 2013
Country/Territory	Korea, Republic of
City	Seoul
Period	13/11/28 → 13/11/30

Keywords

Disambiguation
Ontology
SameAs link
Spelling variants
Synonym
Wikipedia

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-06826-8_29

Cite this

Kagawa, K., Tamagawa, S., & Yamaguchi, T. (2014). An automatic sameAs link discovery from Wikipedia. In Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers (pp. 399-413). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-06826-8_29

An automatic sameAs link discovery from Wikipedia. / Kagawa, Kosuke; Tamagawa, Susumu; Yamaguchi, Takahira.
Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers. Springer Verlag, 2014. p. 399-413 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kagawa, K, Tamagawa, S & Yamaguchi, T 2014, An automatic sameAs link discovery from Wikipedia. in Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8388 LNCS, Springer Verlag, pp. 399-413, 3rd Joint International Semantic Technology Conference, JIST 2013, Seoul, Korea, Republic of, 13/11/28. https://doi.org/10.1007/978-3-319-06826-8_29

Kagawa K, Tamagawa S, Yamaguchi T. An automatic sameAs link discovery from Wikipedia. In Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers. Springer Verlag. 2014. p. 399-413. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-06826-8_29

Kagawa, Kosuke ; Tamagawa, Susumu ; Yamaguchi, Takahira. / An automatic sameAs link discovery from Wikipedia. Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers. Springer Verlag, 2014. pp. 399-413 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - Spelling variants of words or word sense ambiguity takes many costs in such processes as Data Integration, Information Searching, data pre-processing for Data Mining, and so on. It is useful to construct relations between a word or phrases and a representative name of the entity to meet these demands. To reduce the costs, this paper discusses how to automatically discover "sameAs" and "meaningOf" links from Japanese Wikipedia. In order to do so, we gathered relevant features such as IDF, string similarity, number of hypernym, and so on. We have identified the link-based score on salient features based on SVM results with 960,000 anchor link pairs. These case studies show us that our link discovery method goes well with more than 70% precision/ recall rate.

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KW - Spelling variants

KW - Synonym

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An automatic sameAs link discovery from Wikipedia

Abstract

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Keywords

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