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Mid-Ontology Learning from Linked Data

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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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References

  1. Auer, S., Lehmann, J.: Creating knowledge out of interlinked data. Semantic Web 1(1-2), 97–104 (2010)

    Google Scholar 

  2. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)

    Article  Google Scholar 

  3. Choi, N., Song, I.-Y., Han, H.: A survey on ontology mapping. ACM SIGMOD Record 35, 34–41 (2006)

    Article  Google Scholar 

  4. Cimiano, P.: Ontology Learning and Population from Text: Algorithms, Evaluation and Applications. Springer-Verlag New York, Inc. (2006)

    Google Scholar 

  5. Damova, M., Kiryakov, A., Simov, K., Petrov, S.: Mapping the central lod ontologies to proton upper-level ontology. In: Proceedings of the Fifth International Workshop on Ontology Matching, pp. 61–72 (2010)

    Google Scholar 

  6. Ding, L., Shinavier, J., Shangguan, Z., McGuinness, D.L.: Sameas networks and beyond: Analyzing deployment status and implications of owl: sameas in linked data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 145–160. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Drumond, L., Girardi, R.: A survey of ontology learning procedures. In: Proceedings of the Third Workshop on Ontologies and their Applications (2008)

    Google Scholar 

  8. Erling, O., Mikhailov, I.: Virtuoso: Rdf support in a native rdbms. In: Semantic Web Information Management, pp. 501–519 (2009)

    Google Scholar 

  9. Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Heidelberg (2007)

    MATH  Google Scholar 

  10. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press (1998)

    Google Scholar 

  11. Halpin, H., Hayes, P.J., McCusker, J.P., McGuinness, D.L., Thompson, H.S.: When owl:sameAs isn’t the same: An analysis of identity in linked data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 305–320. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011)

    Google Scholar 

  13. Ichise, R.: An analysis of multiple similarity measures for ontology mapping problem. International Journal of Semantic Computing 4(1), 103–122 (2010)

    Article  MATH  Google Scholar 

  14. Parundekar, R., Knoblock, C.A., Ambite, J.L.: Linking and building ontologies of linked data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 598–614. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  15. Pedersen, T., Patwardhan, S., Michelizzi, J.: Wordnet:similarity: Measuring the relatedness of concepts. In: Proceedings of the Nineteenth National Conference on Artificial Intelligence, pp. 1024–1025 (2004)

    Google Scholar 

  16. Porter, M.F.: An algorithm for suffix stripping. In: Readings in Information Retrieval, pp. 313–316 (1997)

    Google Scholar 

  17. Shannon, P., Markiel, A., Ozier, O., Baliga, N.S., Wang, J.T., Ramage, D., Amin, N., Schwikowski, B., Ideker, T.: Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13(11), 2498–2504 (2003)

    Article  Google Scholar 

  18. Zhou, L.: Ontology learning: state of the art and open issues. Information Technology and Management 8, 241–252 (2007)

    Article  Google Scholar 

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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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