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GOSPL: A Method and Tool for Fact-Oriented Hybrid Ontology Engineering

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Book cover Advances in Databases and Information Systems (ADBIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7503))

Abstract

In this paper we present GOSPL, which stands for Grounding Ontologies with Social Processes and Natural Language. GOSPL is a method and tool that supports stakeholders in iteratively interpreting and modeling their common hybrid ontologies using their own terminology for semantic interoperability between autonomously developed and maintained information systems. Hybrid ontologies are ontologies in which concepts are both formally and informally described with the help of a special linguistic resource called glossary. Social interactions between the community members drive the ontology evolution process and result in more stable and agreed upon ontologies.

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Authors and Affiliations

  1. Semantics Technology and Applications Research Lab, Vrije Universiteit Brussel, Brussels, Belgium

    Christophe Debruyne & Robert Meersman

Authors
  1. Christophe Debruyne
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  2. Robert Meersman
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Editors and Affiliations

  1. Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965, Poznań, Poland

    Tadeusz Morzy

  2. Department of Computer Science, AG DBIS, University of Kaiserslautern, Germany, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Theo Härder

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Robert Wrembel

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Debruyne, C., Meersman, R. (2012). GOSPL: A Method and Tool for Fact-Oriented Hybrid Ontology Engineering. In: Morzy, T., Härder, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2012. Lecture Notes in Computer Science, vol 7503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33074-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-33074-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33073-5

  • Online ISBN: 978-3-642-33074-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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