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)


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.


Ontology Enrichment Ontology Alignment Linked Open Data Open Information Extraction 


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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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