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Lightweight Semantics over Web Information Systems Content Employing Knowledge Tags

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Advances in Conceptual Modeling (ER 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7518))

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Abstract

A model of web information system content is crucial for its effective manipulation. We employ knowledge tags – metadata that describe an aspect of an information artifact for purpose of the modeling. Knowledge tags provide a lightweight semantics over the content, which serves web information systems also for sharing knowledge about the content and interconnections between information artifacts. Knowledge tags represent not only content based metadata, but also a collaboration metadata, e.g. aggregations of an implicit user feedback including interactions with the content. To allow this type of metadata we should provide means for knowledge tags repository providing flexible and fast access for effective reasoning. In this paper we address issues related to knowledge tags repository and its automatic maintenance. Main design issues are based on considering dynamic character of the web of information artifacts, which results in content changes in time that can invalidate knowledge tags. We realized the web-scale repository via the MongoDB database. Proposed repository stores knowledge tags in Open Annotation model and supports inference via distributed SPARQL query processing algorithm for MapReduce.

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Author information

Authors and Affiliations

  1. Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 3, Bratislava, Slovakia

    Mária Bieliková & Karol Rástočný

Authors
  1. Mária Bieliková
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  2. Karol Rástočný
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Università degli Studi di Milano, Via Comelico, 39, 20135, Milano, Italy

    Silvana Castano

  2. Department of Computer Science, University of Ioannina, 45110, Ioannina, Hellas, Greece

    Panos Vassiliadis

  3. Department of Computer Science, University of British Columbia, 2366 Main Mall-Vancouver, V6T 1Z4, BC, Canada

    Laks V. Lakshmanan

  4. School of Computing, National University of Singapore, 1,13 Computer Drive, 117417, Singapore

    Mong Li Lee

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© 2012 Springer-Verlag Berlin Heidelberg

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Bieliková, M., Rástočný, K. (2012). Lightweight Semantics over Web Information Systems Content Employing Knowledge Tags. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds) Advances in Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33999-8_39

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  • DOI: https://doi.org/10.1007/978-3-642-33999-8_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33998-1

  • Online ISBN: 978-3-642-33999-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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