Semantic based real-time clustering for PubMed literatures

Ruey Ling Yeh; Ching Liu; Ben-Chang Shia; I-Jen Chiang; Wen Wen Yang; Hsiang Chun Tsai

doi:10.1007/978-3-540-75488-6_32

Semantic based real-time clustering for PubMed literatures

Ruey Ling Yeh, Ching Liu, Ben-Chang Shia, I-Jen Chiang, Wen Wen Yang, Hsiang Chun Tsai

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

Abstract

This paper addresses to use the latent semantic topology to real-time cluster the literatures retrieved by PubMed in response to clinical queries and evaluates its performance by professional experts. The result shows that semantic clusters properly offer an exploratory view on the returned search results, which saves users' time to understand them. Besides, most experts conceive that the documents assigned to the identical cluster are similar and the concepts of clusters are appropriate.

Original language	English
Title of host publication	Discovery Science - 10th International Conference, DS 2007, Proceedings
Publisher	Springer Verlag
Pages	291-295
Number of pages	5
ISBN (Print)	9783540754879
DOIs	https://doi.org/10.1007/978-3-540-75488-6_32
Publication status	Published - 2007
Event	10th International Conference on Discovery Science, DS 2007 - Sendai, Japan Duration: Oct 1 2007 → Oct 4 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4755 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	10th International Conference on Discovery Science, DS 2007
Country/Territory	Japan
City	Sendai
Period	10/1/07 → 10/4/07

Keywords

Combinatorial topology
Real-time
Semantic clustering
Web mining

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-75488-6_32

Cite this

Yeh, R. L., Liu, C., Shia, B.-C., Chiang, I.-J., Yang, W. W., & Tsai, H. C. (2007). Semantic based real-time clustering for PubMed literatures. In Discovery Science - 10th International Conference, DS 2007, Proceedings (pp. 291-295). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4755 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-540-75488-6_32

Semantic based real-time clustering for PubMed literatures. / Yeh, Ruey Ling; Liu, Ching; Shia, Ben-Chang et al.
Discovery Science - 10th International Conference, DS 2007, Proceedings. Springer Verlag, 2007. p. 291-295 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4755 LNAI).

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

Yeh, RL, Liu, C, Shia, B-C, Chiang, I-J, Yang, WW & Tsai, HC 2007, Semantic based real-time clustering for PubMed literatures. in Discovery Science - 10th International Conference, DS 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4755 LNAI, Springer Verlag, pp. 291-295, 10th International Conference on Discovery Science, DS 2007, Sendai, Japan, 10/1/07. https://doi.org/10.1007/978-3-540-75488-6_32

Yeh RL, Liu C, Shia BC, Chiang IJ, Yang WW, Tsai HC. Semantic based real-time clustering for PubMed literatures. In Discovery Science - 10th International Conference, DS 2007, Proceedings. Springer Verlag. 2007. p. 291-295. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-75488-6_32

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Semantic based real-time clustering for PubMed literatures

Abstract

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Keywords

ASJC Scopus subject areas

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