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Ontology Alignment for Linked Open Data

  • Prateek Jain
  • Pascal Hitzler
  • Amit P. Sheth
  • Kunal Verma
  • Peter Z. Yeh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6496)

Abstract

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the idea of bootstrapping information already present on the LOD cloud. We also present a comprehensive evaluation which shows that BLOOMS outperforms state-of-the-art ontology alignment systems on LOD datasets. At the same time, BLOOMS is also competitive compared with these other systems on the Ontology Evaluation Alignment Initiative Benchmark datasets.

Keywords

Link Open Data Reference Alignment Ontology Match Ontology Alignment Link Open Data Cloud 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Prateek Jain
    • 1
  • Pascal Hitzler
    • 1
  • Amit P. Sheth
    • 1
  • Kunal Verma
    • 2
  • Peter Z. Yeh
    • 2
  1. 1.Kno.e.sis CenterWright State UniversityDayton
  2. 2.Accenture Technology LabsSan Jose

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