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A Framework for Analysis of Ontology-Based Data Access

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

In last decade the terms related to Semantic Web become significant elements in the efficient way of information retrieval, processing and supporting availability of machine readable data. An ontology offers a wide spectrum of its application for data access. Ontology-Based Data Access is regarded as a key ingredient for the new generation of information systems, especially for Semantic Web applications that involve large amounts of data. OBDA system uses an ontology as a conceptual schema of the subject domain, and as a basis of the user interface for SQL database systems. This paper presents the complex overview of OBDA systems and a framework for analysis of selected tools for OBDA system creation.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Żołnierska 49, 71-210, Szczecin, Poland

    Agnieszka Konys

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  1. Agnieszka Konys
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Correspondence to Agnieszka Konys .

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Editors and Affiliations

  1. Wroclaw University of Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Manageme, Democritus University of Thrace Department of Forestry and Manageme, Orestiada Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology , Wrocław, Poland

    Bogdan Trawiński

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Konys, A. (2016). A Framework for Analysis of Ontology-Based Data Access. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45245-6

  • Online ISBN: 978-3-319-45246-3

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