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Ontology-based data access: An application to intermodal logistics

Author

Listed:
  • Matteo Casu

    (Università degli Studi di Genova)

  • Giuseppe Cicala

    (Università degli Studi di Genova)

  • Armando Tacchella

    (Università degli Studi di Genova)

Abstract

In this paper, we investigate ontology-based data access (OBDA) to build information systems whose purposes are (i) gathering data from a network of intermodal terminals, and (ii) computing performance indicators of the network. This application domain is characterized by large amounts of data and relatively simple data models, making it a natural challenge for logic-based knowledge representation and reasoning techniques. Considering relational database (RDB) technology as a yardstick, we show that careful engineering of OBDA can achieve RDB-like scalability even in demanding applications. To the best of our knowledge, this is the first study evaluating the potential of OBDA in a typical business-size application.

Suggested Citation

  • Matteo Casu & Giuseppe Cicala & Armando Tacchella, 2013. "Ontology-based data access: An application to intermodal logistics," Information Systems Frontiers, Springer, vol. 15(5), pages 849-871, November.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:5:d:10.1007_s10796-012-9395-4
    DOI: 10.1007/s10796-012-9395-4
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    Cited by:

    1. Juan Du & Hengqing Jing & Kim-Kwang Raymond Choo & Vijayan Sugumaran & Daniel Castro-Lacouture, 2020. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 22(6), pages 1467-1485, December.
    2. Juan Du & Hengqing Jing & Kim-Kwang Raymond Choo & Vijayan Sugumaran & Daniel Castro-Lacouture, 0. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 0, pages 1-19.

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