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Modular Ontologies pp 91–112Cite as

On Importing Knowledge from Ontologies.

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5445))

Summary

This chapter focuses on the notion of importing terms from an ontology. Rather than proposing a specific formalism for this task and proving theorems about its properties, it starts by surveying a sample of lesser known papers on this topic in both the AI and Database literature. Based on this, it then derives a list of desirable properties for the notion of “importing a set of identifiers from an exporting to an importing knowledge base”, and provides a framework for alternate formal definitions of this notion. Some of the more novel aspects are the idea of modifying the exporting ontology before the subset of axioms to be imported is determined, and limiting the use of imported terms. The chapter concludes with a review of the concept of “expressive power”, and how it might apply to importing mechanisms.

Some material in this chapter has been presented at the WOMO’06, DL’07 and WOMO’07 workshops. This research was supported in part by the U.S. DHS under ONR grant N00014-7-1-0150.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Rutgers University, USA

    Alexander Borgida

Authors
  1. Alexander Borgida
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Editors and Affiliations

  1. Institut für Informatik, B6, 26, Universität Mannheim, 68159, Mannheim, Germany

    Heiner Stuckenschmidt

  2. HEC ISI, Université de Lausanne, 1015, Lausanne, Switzerland

    Christine Parent

  3. Database Laboratory, École Polytechnique Fédérale de Lausanne, EPFL-IC, 1015, Lausanne, Switzerland

    Stefano Spaccapietra

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Borgida, A. (2009). On Importing Knowledge from Ontologies.. In: Stuckenschmidt, H., Parent, C., Spaccapietra, S. (eds) Modular Ontologies. Lecture Notes in Computer Science, vol 5445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01907-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-01907-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01906-7

  • Online ISBN: 978-3-642-01907-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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