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Web 2.0 & Semantic Web pp 135–160Cite as

Semantic Document Model to Enhance Data and Knowledge Interoperability

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Part of the book series: Annals of Information Systems ((AOIS,volume 6))

Abstract

To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a form understandable to both humans and machines. At the same time, these are the requirements that desktop documents need to satisfy in order to contribute to the visions of the Semantic Web. With the aim of achieving this goal, we have developed the Semantic Document Model (SDM), which turns desktop documents into Semantic Documents as uniquely identified and semantically annotated composite resources, that can be instantiated into human-readable (HR) and machine-processable (MP) forms. In this paper, we present the SDM along with an RDF and ontology-based solution for the MP document instance. Moreover, on top of the proposed model, we have built the Semantic Document Management System (SDMS), which provides a set of services that exploit the model. As an application example that takes advantage of SDMS services, we have extended MS Office with a set of tools that enables users to transform MS Office documents (e.g., MS Word and MS PowerPoint) into Semantic Documents, and to search local and distant semantic document repositories for document content units (CUs) over Semantic Web protocols.

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Notes

  1. 1.

    Dublin Core Metadata Initiative: http://dublincore.org/

  2. 2.

    IEEE standard for learning object metadata: http://ltsc.ieee.org/wg12

  3. 3.

    XPointer Framework: http://www.w3.org/TR/xptr-framework/

  4. 4.

    OSGi Alliance: http://www.osgi.org/

  5. 5.

    D-Bus: http://www.freedesktop.org/wiki/Software/dbus

  6. 6.

    Apache Lucene IR Library: http://lucene.apache.org/

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Acknowledgements

Research reported in this paper has been partially financed by the European Commission in the NEPOMUK (IST-FP6-027705) project.

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Authors and Affiliations

  1. Faculty of Informatics, University of Lugano, Via G. Buffi 13, Lugano, Switzerland

    Saša Nešić

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  1. Saša Nešić
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Correspondence to Saša Nešić .

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Editors and Affiliations

  1. School of Business Administration, University of Belgrade, Jove Ilica 154, Belgrade, 11000, Serbia

    Vladan Devedžić

  2. School of Computing &, Athabasca University, University Drive 1, Athabasca, T9S 3A3, Canada

    Dragan Gaševic

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Nešić, S. (2010). Semantic Document Model to Enhance Data and Knowledge Interoperability. In: Devedžić, V., Gaševic, D. (eds) Web 2.0 & Semantic Web. Annals of Information Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1219-0_6

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  • DOI: https://doi.org/10.1007/978-1-4419-1219-0_6

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  • Print ISBN: 978-1-4419-1218-3

  • Online ISBN: 978-1-4419-1219-0

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