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Constructing the Information Management System Based on Ontology and Concept Lattices

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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 105))

Abstract

Concept lattice, the main data structure in formal concept analysis theory, has been widely applied to many fields such as machine learning, knowledge discovery, information retrieval and software engineering. Ontology has become increasingly popular because it promises a shared and common understanding of knowledge domains that can be communicated between people and application systems. The main contributions of this paper is presenting applying formal concept analysis theory and ontology to construct information system of management knowledge, and the experiments shows the CPU Time in the attribute numbers, indicating that FCA is superior to ontology in building the information management system.

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References

  1. Maedche, A., Staab, S.: Ontology Learning for the Semantic Web. IEEE Intelligent Systems 16(2), 772–797 (2001)

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Author information

Authors and Affiliations

  1. Network and Information Center, Qingyuan Polytechnic, Qingyuan, 511510, China

    Guo Li & QiHua Peng

Authors
  1. Guo Li
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  2. QiHua Peng
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, 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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Li, G., Peng, Q. (2011). Constructing the Information Management System Based on Ontology and Concept Lattices. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_123

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_123

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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