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Processing Alignments

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Book cover Ontology Matching

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Abstract

In this book, we have taken a two-step view on reducing semantic heterogeneity: (i) matching of entities to determine alignment and (ii) processing the alignment according to application needs. In the previous chapters, we have discussed various themes related to the first step. In this chapter, in turn, we present how the alignments can be specifically used by applications, thus focussing on the alignment processing step.

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Notes

  1. 1.

    http://sameas.org.

  2. 2.

    http://bioportal.bioontology.org/.

  3. 3.

    http://alignapi.gforge.inria.fr.

  4. 4.

    http://semanticweb.cs.vu.nl/amalgame/.

  5. 5.

    http://www.openrdf.org.

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Author information

Authors and Affiliations

  1. INRIA and LIG, Grenoble, France

    Jérôme Euzenat

  2. Informatica Trentina SpA, while at Department of Engineering and Computer Science (DISI), University of Trento, while at Web of Data, Bruno Kessler Foundation - IRST, Trento, Italy

    Pavel Shvaiko

Authors
  1. Jérôme Euzenat
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  2. Pavel Shvaiko
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Euzenat, J., Shvaiko, P. (2013). Processing Alignments. In: Ontology Matching. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38721-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-38721-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38720-3

  • Online ISBN: 978-3-642-38721-0

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