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A Semantic Search Approach by Graph Matching with Negations and Inferences

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Conceptual Structures for Knowledge Creation and Communication (ICCS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2746))

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Abstract.

Research on semantic search has become heated these years. In this paper we propose an approach focusing on searching for resources with descriptions. The knowledge representation we employ is based on conceptual graphs and is expressive with negation. We carry out semantic search by graph matching, which can be performed in polynomial time. Before matching we enrich the resource graphs with background knowledge by a deductive graph inference, so as to improve the search performance. The processing of negat ions and the graph inference method are two important contributions of this paper.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai JiaoTong University, 200030, Shanghai, P.R.China

    Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu & Yong Yu

Authors
  1. Kewei Tu
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  2. Jing Lu
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  3. Haiping Zhu
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  4. Guowei Liu
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  5. Yong Yu
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Editor information

Editors and Affiliations

  1. Institute of Algebra, University of Technology, Dresden, Germany

    Bernhard Ganter

  2. Semantics Technology and Applications Research Laboratory (STARLab), Department of Computer Science, Vrije Universiteit Brussel, Pleinlaan 2, B-1050, Brussels 5, Belgium

    Aldo de Moor

  3. Institut für Algebra, Technische Universität Dresden, 01062, Dresden, Germany

    Wilfried Lex

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© 2003 Springer-Verlag Berlin Heidelberg

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Tu, K., Lu, J., Zhu, H., Liu, G., Yu, Y. (2003). A Semantic Search Approach by Graph Matching with Negations and Inferences. In: Ganter, B., de Moor, A., Lex, W. (eds) Conceptual Structures for Knowledge Creation and Communication. ICCS 2003. Lecture Notes in Computer Science(), vol 2746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45091-7_27

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  • DOI: https://doi.org/10.1007/978-3-540-45091-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40576-4

  • Online ISBN: 978-3-540-45091-7

  • eBook Packages: Springer Book Archive

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