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Selection of Foundational Ontology for Collaborative Knowledge Modeling in Healthcare Domain

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Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6304))

Abstract

Ontology design is an important process for structuring knowledge to be reused in different projects in the health domain. In this paper, we describe an ontology design for the collaborative knowledge building system ACKTUS to be used for developing personalized knowledge applications for different domains. Different foundational ontologies were compared with respect to selected criteria considered vital for the project, such as modularity and descriptiveness.

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Authors and Affiliations

  1. Department of Computer Science, Umeå University, SE, 90187, Umeå, Sweden

    Farooq Ahmad & Helena Lindgren

Authors
  1. Farooq Ahmad
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  2. Helena Lindgren
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Editors and Affiliations

  1. Winston-Salem State University, 601 S. Martin Luther King Drive, NC 27110, Winston Salem, USA

    Darina Dicheva

  2. Institute of Information Technologies, Bulgarian Academy of Sciences, 29A Acad. Bonchev Str., 1113, Sofia, Bulgaria

    Danail Dochev

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© 2010 Springer-Verlag Berlin Heidelberg

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Ahmad, F., Lindgren, H. (2010). Selection of Foundational Ontology for Collaborative Knowledge Modeling in Healthcare Domain. In: Dicheva, D., Dochev, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2010. Lecture Notes in Computer Science(), vol 6304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15431-7_27

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  • DOI: https://doi.org/10.1007/978-3-642-15431-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15430-0

  • Online ISBN: 978-3-642-15431-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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