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An Architecture to Support Web-Based Information Extraction Using Domain Ontologies

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Exploring the Grand Challenges for Next Generation E-Business (WEB 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 52))

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Abstract

The web is the world’s most valuable information resource. However, a wide gap has emerged between the information available for software applications vis-à-vis human consumption. In response to this problem, new research initiatives have focused on extracting information available on the web with machine-processable semantics. Ontologies play a large role in information extraction, particularly in the context of semantic web, and applications should be able to find appropriate ontologies on the fly. However, existing tools do not adequately support information extraction and ontology selection. This research-in-progress paper presents the architecture for an information extraction system which relies on domain ontologies and lexical resources. We also provide an approach for easy identification of appropriate ontologies for a particular task.

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Author information

Authors and Affiliations

  1. Department of Decision and Information Sciences School of Business Administration, Oakland University, Rochester, MI, 48309, USA

    Vijayan Sugumaran

  2. Department of Service Systems Management and Engineering, Sogang University, 1 Shinsoo-Dong, Mapo-Gu, Seoul, 121-742, South Korea

    Vijayan Sugumaran

  3. School of Computing Science and Engineering, Newton Building, The University of Salford, Salford, M5 4WT, UK

    Farid Meziane

Authors
  1. Vijayan Sugumaran
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  2. Farid Meziane
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Editor information

Editors and Affiliations

  1. Department of Management Science and Systems, State University of New York at Buffalo, 14260, Buffalo, New York, NY, USA

    Raj Sharman

  2. Department of Management Science and Systems, State University of New York at Buffalo, School of Management, 14260, Buffalo, New York, NY, USA

    H. Raghav Rao

  3. Department of Information Systems, Arizona State University, 601G, 874606, Tempe, AZ, USA

    T. S. Raghu

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Sugumaran, V., Meziane, F. (2010). An Architecture to Support Web-Based Information Extraction Using Domain Ontologies. In: Sharman, R., Rao, H.R., Raghu, T.S. (eds) Exploring the Grand Challenges for Next Generation E-Business. WEB 2009. Lecture Notes in Business Information Processing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17449-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-17449-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17448-3

  • Online ISBN: 978-3-642-17449-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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