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Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search

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Advances in Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 283))

Abstract

Traditional information retrieval systems represent documents and queries by keyword sets. However, the content of a document or a query is mainly defined by both keywords and named entities occurring in it. Named entities have ontological features, namely, their aliases, classes, and identifiers, which are hidden from their textual appearance. Besides, the meaning of a query may imply latent named entities that are related to the apparent ones in the query. We propose an ontology-based generalized vector space model to semantic text search. It exploits ontological features of named entities and their latently related ones to reveal the semantics of documents and queries. We also propose a framework to combine different ontologies to take their complementary advantages for semantic annotation and searching. Experiments on a benchmark dataset show better search quality of our model to other ones.

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Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Viet Nam

    Vuong M. Ngo & Tru H. Cao

Authors
  1. Vuong M. Ngo
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  2. Tru H. Cao
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Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str.Wyb.Wyspianskiego, 2750-370, Wroclaw, Poland

    Ngoc Thanh Nguyen  & Radosław Katarzyniak  & 

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

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Ngo, V.M., Cao, T.H. (2010). Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search. In: Nguyen, N.T., Katarzyniak, R., Chen, SM. (eds) Advances in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12090-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-12090-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12089-3

  • Online ISBN: 978-3-642-12090-9

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