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Requirements Ontology and Multi-representation Strategy for Database Schema Evolution

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Ontologies-Based Databases and Information Systems (ODBIS 2006, ODBIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4623))

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Abstract

With the emergence of enterprise-wide information systems, ontologies have become by definition a valuable aid for efficient database schema modeling and integration, in addition to their use in other disciplines such as the semantic web and natural language processing. This paper presents another important utilization of ontologies in database schemas: schema evolution. Specifically, our research concentrates on a new three-layered approach for schema evolution. These three layers are 1) a schema repository, 2) a domain ontology called a requirements ontology, and 3) a multi-representation strategy to enable powerful change management. This a priori approach for schema evolution, in contrast with existing a posteriori solutions, can be employed for any data model and for both 1) design from scratch and evolution and 2) redesign and evolution of the database. The paper focuses on the two main foundations of this approach, the requirements ontology and the multi-representation strategy which is based on a stamping mechanism.

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Authors and Affiliations

  1. Database Laboratory, EPFL, School of Computer and Communication Science, Lausanne, Switzerland

    Hassina Bounif & Stefano Spaccapietra

  2. Data Management and Mining Laboratory, University of British Columbia, Vancouver, Canada

    Rachel Pottinger

Authors
  1. Hassina Bounif
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  2. Stefano Spaccapietra
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  3. Rachel Pottinger
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Editor information

Martine Collard

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© 2007 Springer-Verlag Berlin Heidelberg

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Bounif, H., Spaccapietra, S., Pottinger, R. (2007). Requirements Ontology and Multi-representation Strategy for Database Schema Evolution. In: Collard, M. (eds) Ontologies-Based Databases and Information Systems. ODBIS ODBIS 2006 2005. Lecture Notes in Computer Science, vol 4623. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75474-9_5

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  • DOI: https://doi.org/10.1007/978-3-540-75474-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75473-2

  • Online ISBN: 978-3-540-75474-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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