A similarity model for bibliographic records using subject headings

Conference proceedings article

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Publication Details

Author list: Maneewongvatana S., Maneewongvatana S.

Publisher: Hindawi

Publication year: 2011

Start page: 263

End page: 268

Number of pages: 6

ISBN: 9781457706875

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960427693&doi=10.1109%2fJCSSE.2011.5930132&partnerID=40&md5=ee397513d994c409e168cb3cdd7511bf

Languages: English-Great Britain (EN-GB)

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Abstract

We propose a model for measuring similarity between bibliographic records based on their keywords or subject headings whose relationship can be represented in form of the semantic hierarchical network. In our work, the level of each subject heading in the semantic hierarchical network plays a major role to determine keyword's infuence. Highly specifc subject headings represented as leaf nodes of the model are better indicators to explain the content of a bibliographic record than the more general ones. The proposed algorithm calculates the level of similarity between records by considering path from one subject heading to another contained in the records. With this algorithm, related bibliographic records do not necessary to have exactly the same subject heading. The implication of this work can be applied to various types of document classifcation whose set of tags or keywords are organized in a semantic hierarchical network. ฉ 2011 IEEE.

Keywords

document classification, semantic hierarchical network, specificity function