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Managing Ontology Evolution Via Relational Constraints

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale ontology development, deployment and collaborative maintenance of related metadata still remain to be solved. Making online modifications to an ontology whose concepts are simultaneously being used for metadata generation may potentially disrupt metadata semantics and even introduce inconsistencies. In this paper we analyzed and classified operations on ontology according to their impact on metadata. The approach is aimed at environments (like our own Knowledge Hub) relying on a relational database for storing ontologies and metadata assertions and it is based on the use of database triggers for automating metadata maintenance.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Via Bramante, 65-26013, Crema, Italy

    Paolo Ceravolo

  2. e-Business Management School – ISUFI, University of Lecce, Via per Monteroni, sn, 73100, Lecce, Italy

    Angelo Corallo, Gianluca Elia & Antonio Zilli

Authors
  1. Paolo Ceravolo
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  2. Angelo Corallo
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  3. Gianluca Elia
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  4. Antonio Zilli
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Ceravolo, P., Corallo, A., Elia, G., Zilli, A. (2004). Managing Ontology Evolution Via Relational Constraints. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_45

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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