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A Knowledge-Based News Server Supporting Ontology-Driven Story Enrichment and Knowledge Retrieval

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Knowledge Acquisition, Modeling and Management (EKAW 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1621))

Abstract

We consider a knowledge management scenario in which members of an academic community collaboratively construct and share a common archive of news items. Given this scenario, a number of knowledge management challenges arise: how to organize a speedy, low overhead publication process which can nevertheless yield high quality results; how to provide semantic search and knowledge retrieval facilities in an effective and sustainable way; how best to provide individualized presentations and news alerts. To address these questions we have drawn on a number of technologies, including knowledge modelling, autonomous agents, software visualization, knowledge acquisition and distributed computing. In the paper we describe the resulting Planet-Onto architecture, which provides an integrated set of tools to support news publishing, ontology-driven document formalization, story identification and personalized news feeds and alerts.

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Authors and Affiliations

  1. Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, UK

    John Domingue & Enrico Motta

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  1. John Domingue
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  2. Enrico Motta
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Editors and Affiliations

  1. AIFB Institute for Applied Computer Science and Formal Description Methods, University of Karlsruhe, D-76128, Karlsruhe, Germany

    Dieter Fensel  & Rudi Studer  & 

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© 1999 Springer-Verlag

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Domingue, J., Motta, E. (1999). A Knowledge-Based News Server Supporting Ontology-Driven Story Enrichment and Knowledge Retrieval. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_7

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  • DOI: https://doi.org/10.1007/3-540-48775-1_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66044-6

  • Online ISBN: 978-3-540-48775-3

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