Using Open Information Extraction and Linked Open Data towards Ontology Enrichment and Alignment

  • Antonis Koukourikos
  • Pythagoras Karampiperis
  • George Vouros
  • Vangelis Karkaletsis
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 112)

Abstract

The interlinking, maintenance and updating of different Linked Data repositories is steadily becoming a critical issue as the amount of published data increases. The wealth of information across the World Wide Web can be exploited in order to provide additional information about the way that an object is described in the real world. This paper proposes a method for discovering new concepts and examining the equivalence of properties in different LOD description schemas by using Open Information Extraction techniques on web resources. The method relies on constructing association graphs from the extracted information, proceeding to a transfer on the conceptual level using information previously known from the LOD repositories and examining the similarities and discrepancies between the produced graphs and the LOD descriptions, as well as between the graphs derived from different repositories.

Keywords

Ontology Enrichment Ontology Alignment Linked Open Data Open Information Extraction 

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References

  1. 1.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data – the story so far. Intl J. on Semantic Web and Information Systems 5(3), 1–22 (2009)CrossRefGoogle Scholar
  2. 2.
    Lambrix, P., Tan, H.: SAMBO – a system for aligning and merging biomedical ontologies. Journal of Web Semantics 49(1), 196–206 (2006)CrossRefGoogle Scholar
  3. 3.
    Jean-Mary, Y.R., Shironoshita, E.P., Kabuka, M.R.: Ontology matching with semantic verification. Journal of Web Semantics 7(3), 235–251 (2009)CrossRefGoogle Scholar
  4. 4.
    Li, J., Tang, J., Li, Y., Luo, Q.: Rimom: A dynamic multistrategy ontology alignment framework. IEEE Transactions on Knowledge and Data Engineering 21(8), 1218–1232 (2009)CrossRefGoogle Scholar
  5. 5.
    Jain, P., Hitzler, P., Sheth, A.P., Verma, K., Yeh, P.Z.: Ontology Alignment for Linked Open 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. 402–417. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  6. 6.
    Alani, H., Sanghee, K., Millard, E.D., Weal, J.M., Lewis, P.H., Hall, W., Shadbolt, N.: Automatic Extraction of Knowledge from Web Documents. In: Proc. of HLT (2003)Google Scholar
  7. 7.
    Kim, S.-S., Son, J.-W., Park, S.-B., Park, S.-Y., Lee, C., Wang, J.-H., Jang, M.-G., Park, H.-G.: OPTIMA: An Ontology Population System. In: 3rd Workshop on Ontology Learning and Population (2008)Google Scholar
  8. 8.
    Etzioni, O., Kok, S., Soderland, S., Cagarella, M., Popescu, A.M., Weld, D.S., Downey, D., Shaker, T., Yates, A.: Unsupervised named-entity extraction from the Web: An experimental Study. Artificial Intelligence 165, 91–134 (2005)CrossRefGoogle Scholar
  9. 9.
    Brewster, C., Ciravegna, F., Wilks, Y.: User-Centred Ontology Learning for Knowledge Management. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds.) NLDB 2002. LNCS, vol. 2553, pp. 203–207. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  10. 10.
    Suchanek, F.M., Ifrim, G., Weikum, G.: LEILA: Learning to Extract Information by Linguistic Analysis. In: Proc. of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, Sydney, Australia, pp. 18–25 (2006)Google Scholar
  11. 11.
    Etzioni, O., Fader, A., Christensen, J., Soderland, S.: Mausam: Open Information Extraction: the Second Generation. In: Intl. Joint Conference on Artificial Intelligence (2011)Google Scholar
  12. 12.
    Yates, A., Cafarella, M., Banko, M., Etzioni, O., Broadhead, M., Soderland, S.: TextRunner: Open Information Extraction on the Web. Computational Linguistics 42, 25–26 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Antonis Koukourikos
    • 1
    • 2
  • Pythagoras Karampiperis
    • 2
  • George Vouros
    • 1
  • Vangelis Karkaletsis
    • 2
  1. 1.Department of Digital SystemsUniversity of PiraeusPiraeusGreece
  2. 2.Software and Knowledge Engineering Laboratory, Institute of Informatics and TelecommunicationsNational Center for Scientific ResearchAthensGreece

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