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S-CREAM — Semi-automatic CREAtion of Metadata

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Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web (EKAW 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2473))

Abstract

Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, S-CREAM, that allows for creation of metadata and is trainable for a specific domain. Annotating web documents is one of the major techniques for creating metadata on the web. The implementation of S-CREAM, OntoMat-Annotizer supports now the semi-automatic annotation of web pages. This semi-automatic annotation is based on the information extraction component Amilcare. OntoMat-Annotizer extract with the help of Amil-care knowledge structure from web pages through the use of knowledge extraction rules. These rules are the result of a learning-cycle based on already annotated pages.

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Author information

Authors and Affiliations

  1. AIFB, University of Karlsruhe, Germany

    Siegfried Handschuh & Steffen Staab

  2. Department of Computer Science, University of Sheffield, UK

    Fabio Ciravegna

Authors
  1. Siegfried Handschuh
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  2. Steffen Staab
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  3. Fabio Ciravegna
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Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain

    Asunción Gómez-Pérez

  2. Intelligent Software Components, S.A. (iSOCO), Francisca Delgado, 11 - 2∘, 28108, Alcobendas, Madrid, Spain

    V. Richard Benjamins

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© 2002 Springer-Verlag Berlin Heidelberg

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Handschuh, S., Staab, S., Ciravegna, F. (2002). S-CREAM — Semi-automatic CREAtion of Metadata. In: Gómez-Pérez, A., Benjamins, V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. EKAW 2002. Lecture Notes in Computer Science(), vol 2473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45810-7_32

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  • DOI: https://doi.org/10.1007/3-540-45810-7_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44268-4

  • Online ISBN: 978-3-540-45810-4

  • eBook Packages: Springer Book Archive

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