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International Conference on Database and Expert Systems Applications

DEXA 2010: Database and Expert Systems Applications pp 16–30Cite as

Automatic Fuzzy Semantic Web Ontology Learning from Fuzzy Object-Oriented Database Model

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6261))

Abstract

How to construct Web ontologies that meet applications’ needs has become a key technology to enable the Semantic Web. Manual development of ontologies remains a cumbersome and time-consuming task. In real-world applications, however, information is often vague or ambiguous. Thus, developing approaches and tools for constructing fuzzy ontologies by extracting domain knowledge from huge amounts of existing fuzzy databases can facilitate fuzzy ontology development. In this paper, we propose a formal approach and an automated tool for constructing fuzzy ontologies from fuzzy Object-Oriented database (FOOD) models. Firstly, we introduce the fuzzy ontology, which consists of the fuzzy ontology structure and instances. Then, the FOOD models are investigated, and we propose a kind of formal definition of FOOD models. On this basis, we develop a formal approach that can translate the FOOD model and its corresponding database instances into the fuzzy ontology structure and the fuzzy ontology instances, respectively. Furthermore, following the proposed approach, we implement an automated learning tool, which can automatically construct fuzzy ontologies from FOOD models. Case studies show that the approach is feasible and the automated learning tool is efficient.

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Author information

Authors and Affiliations

  1. College of Information Science & Engineering, Northeastern University, Shenyang, 110819, China

    Fu Zhang, Z. M. Ma, Gaofeng Fan & Xing Wang

Authors
  1. Fu Zhang
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  2. Z. M. Ma
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  3. Gaofeng Fan
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  4. Xing Wang
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Editor information

Editors and Affiliations

  1. DeustoTech Computing, University of Deusto, Avda. Universidades, 24, 48007, Bilbao, Spain

    Pablo García Bringas

  2. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  3. Faculty of Computer Science, Department of Distributed Systems and Multimedia Systems, University of Vienna, Liebiggasse 4/3-4, 1010, Vienna, Austria

    Gerald Quirchmayr

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Zhang, F., Ma, Z.M., Fan, G., Wang, X. (2010). Automatic Fuzzy Semantic Web Ontology Learning from Fuzzy Object-Oriented Database Model. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-15364-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15363-1

  • Online ISBN: 978-3-642-15364-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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