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An Ontology-Learning Knowledge Support System to Keep e-Organization’s Knowledge Up-to-Date: A University Case Study

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Electronic Government and the Information Systems Perspective (EGOVIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6866))

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Abstract

e-Organizational users can apply semantic engineering solutions to deal with decision-making and task-intensive knowledge requirements supported by Knowledge Management Systems (KMSs). Such optional engineering strategies consider some system types to meet knowledge users’ need, aligned with the e-services and e-management qualities required for them. Particularly, in the Knowledge Support System (KSS) field, developers have adopted some Ontology-based technologies to support user’s task-knowledge system functionalities. In this paper, an Ontology-Learning Knowledge Support System (OLeKSS) model is proposed as a general component of e-organizations, to keep the ontologies associated with this kind of KMS updated and enriched. Relational Databases (RDBs) are considered complementary knowledge source for Knowledge Acquisition (KA) through a OLeKSS Process (as a subsystem component) based on methodologies for Ontology Learning (OL). In a University case, we had applied a Systemic Methodology for OL (SMOL) from a RDB to update the correspondent host-ontology associated to the University’s KSS during this OLeKSS process.

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Authors and Affiliations

  1. Dept. of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    Richard J. Gil & Maria J. Martín-Bautista

Authors
  1. Richard J. Gil
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  2. Maria J. Martín-Bautista
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Editors and Affiliations

  1. Center for Applied ICT (CAICT) and Copenhagen Business School (CBS), Howitzvej 60, 2000, Frederiksberg, Denmark

    Kim Normann Andersen

  2. Institute of Legal Information, Theory and Techniques, ITTIG-CNR, Italian National Reserach Council, Via de’ Barucci 20, 50127, Florence, Italy

    Enrico Francesconi

  3. ESI/Informatics, Örebro University, 701 82, Örebro, Sweden

    Åke Grönlund

  4. Faculty of Law, Leibniz Center for Law, University of Amsterdam, Kloveniersburgwal 48, 1000BA, Amsterdam, The Netherlands

    Tom M. van Engers

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Gil, R.J., Martín-Bautista, M.J. (2011). An Ontology-Learning Knowledge Support System to Keep e-Organization’s Knowledge Up-to-Date: A University Case Study. In: Andersen, K.N., Francesconi, E., Grönlund, Å., van Engers, T.M. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2011. Lecture Notes in Computer Science, vol 6866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22961-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-22961-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22960-2

  • Online ISBN: 978-3-642-22961-9

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