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Mid-Ontology Learning from Linked Data

  • Conference paper
The Semantic Web (JIST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7185))

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Abstract

The Linking Open Data(LOD) cloud is a collection of linked Resource Description Framework (RDF) data with over 26 billion RDF triples. Consuming linked data is a challenging task because each data set in the LOD cloud has specific ontology schema, and familiarity with ontology schema is required in order to query various linked data sets. However, manually checking each data set is time-consuming, especially when many data sets from various domains are used. This difficulty can be overcome without user interaction by using an automatic method that integrates different ontology schema. In this paper, we propose a Mid-Ontology learning approach that can automatically construct a simple ontology, linking related ontology predicates (class or property) in different data sets. Our Mid-Ontology learning approach consists of three main phases: data collection, predicate grouping, and Mid-Ontology construction. Experimental results show that our Mid-Ontology learning approach successfully integrates diverse ontology schema, and effectively retrieves related information.

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Author information

Authors and Affiliations

  1. Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan

    Lihua Zhao & Ryutaro Ichise

Authors
  1. Lihua Zhao
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  2. Ryutaro Ichise
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Editor information

Editors and Affiliations

  1. Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK

    Jeff Z. Pan

  2. College of Computer Science, Zhejiang University, 310027, Hangzhou, China

    Huajun Chen  & Zhaohui Wu  & 

  3. BIKE Lab, Seoul National University, Yeongun-Dong, Jongro-Gu, 110-749, Seoul, Korea

    Hong-Gee Kim

  4. Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China

    Juanzi Li

  5. Oracle Corporation, 500 Oracle Parkway, 94065, Redwood Shores, CA, USA

    Zhe Wu

  6. Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, OX1 3QD, Oxford, UK

    Ian Horrocks

  7. Institute of Scientific and Industrial Research (ISIR), Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan

    Riichiro Mizoguchi

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhao, L., Ichise, R. (2012). Mid-Ontology Learning from Linked Data. In: Pan, J.Z., et al. The Semantic Web. JIST 2011. Lecture Notes in Computer Science, vol 7185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29923-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-29923-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29922-3

  • Online ISBN: 978-3-642-29923-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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