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Construction of Ontology Information System Based on Formal Concept Analysis

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 104))

Abstract

As the foundation of the semantic web, ontology is a formal, explicit specification of a shared conceptual model and provides a way for computers to exchange, search and identify characteristics. The aim of ontology is to obtain, describe and express the knowledge of related domain. However, there are some defects between several kinds of existing ontology construction methods in many aspects. After analyzing and comparing, this paper makes up these defects by applying formal concept analysis theory to construct concept hierarchies of ontology. This paper puts forward formal concept analysis method applied in ontology learning based on non-structured of source data. The experimental results have shown our suggested information system will increase precision and performance.

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References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, 5 (2001)

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Author information

Authors and Affiliations

  1. Modern Education Technology Center, Huanghe science and technology college, Zhengzhou, 450063, China

    LiuJie He & QingTuan Wang

Authors
  1. LiuJie He
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  2. QingTuan Wang
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Editor information

Editors and Affiliations

  1. Wuhan Section, International Science & Education Researcher Association, Special No.1 Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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He, L., Wang, Q. (2011). Construction of Ontology Information System Based on Formal Concept Analysis. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_14

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  • DOI: https://doi.org/10.1007/978-3-642-23777-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23776-8

  • Online ISBN: 978-3-642-23777-5

  • eBook Packages: EngineeringEngineering (R0)

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