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Towards Building Virtual Vocabularies in the Semantic Web

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Advanced Data Mining and Applications (ADMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8346))

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Abstract

The development of ontologies in current Semantic Web is in a distributed and loosely-coupled way. Knowledge workers build their vocabularies in accessible web ontologies in their own manner. Two extreme cases are: many highly related concepts are defined separately in a set of tiny ontology fragments; while some massive ontologies defines a large set of concepts, which semantically belong to different areas. These cases bring a barrier to ontology reuse. In this paper, we propose an approach to semantically reorganizing concepts defined in various ontologies. We transform the reorganization problem to a graph clustering problem, and the result of reorganization is a set of virtual vocabularies for reuse. Experiments on a massive ontology repository show that our approach is feasible and efficient.

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References

  1. Doran, P., Tamma, V., Iannone, L.: Ontology module extraction for ontology reuse: an ontology engineering perspective. In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, pp. 61–70. ACM (2007)

    Google Scholar 

  2. Grau, B.C., Horrocks, I., Kazakov, Y., et al.: Modular reuse of ontologies: Theory and practice. Journal of Artificial Intelligence Research 31(1), 273–318 (2008)

    MATH  MathSciNet  Google Scholar 

  3. MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297 (1967)

    Google Scholar 

  4. Zhang, H.: Extensions to the K-means algorithm for clustering large data sets with categorical Values. Data Mining and Knowledge Discovery (2), 283–304 (1998)

    Google Scholar 

  5. Newman, M.E.J.: Fast algorithm for detecting community structure in networks. Physical Review E 69(6), 66133 (2004)

    Article  Google Scholar 

  6. Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Physical Review E 69(2), 026113 (2004)

    Google Scholar 

  7. Cheng, G., Ge, W., Qu, Y.: Falcons: searching and browsing entities on the semantic web. In: Proceedings of the 17th International Conference on World Wide Web, pp. 1101–1102. ACM (2008)

    Google Scholar 

  8. Schlicht, A., Stuckenschmidt, H.: Towards Structural Criteria for Ontology Modularization. In: The 1st International Workshop on Modular Ontologies (2006)

    Google Scholar 

  9. Seidenberg, J., Rector, A.: Web ontology segmentation: Analysis, classification and use. In: Proc. 15th Int. Conf. on World Wide Web (WWW 2006), Edinburgh, Scotland, May 23-26 (2006)

    Google Scholar 

  10. Simperl, E.: Reusing ontologies on the Semantic Web: A feasibility study. Data & Knowledge Engineering 68(10), 905–925 (2009)

    Article  Google Scholar 

  11. Surez-Figueroa, M.C.: NeOn Methodology for building ontology networks: specification, scheduling and reuse. Informatica (2010)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Wen, Y., Zhang, X., Shen, K., Wang, P. (2013). Towards Building Virtual Vocabularies in the Semantic Web. In: Motoda, H., Wu, Z., Cao, L., Zaiane, O., Yao, M., Wang, W. (eds) Advanced Data Mining and Applications. ADMA 2013. Lecture Notes in Computer Science(), vol 8346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53914-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-53914-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53913-8

  • Online ISBN: 978-3-642-53914-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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