An infrastructure for semantic web portals

  • Authors:

  • Yuangui Lei;Vanessa Lopez;Enrico Motta;Victoria Uren

  • Affiliations:

  • Knowledge Media Institute, the Open University, Milton Keynes, United Kingdom;Knowledge Media Institute, the Open University, Milton Keynes, United Kingdom;Knowledge Media Institute, the Open University, Milton Keynes, United Kingdom;Knowledge Media Institute, the Open University, Milton Keynes, United Kingdom

  • Venue:
  • Journal of Web Engineering
  • Year:
  • 2007

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Abstract

This paper presents our Semantic Web portal infrastructure, which focuses on how to enhance knowledge access in traditional Web portals by gathering and exploiting semantic metadata. Special attention is paid to three important issues that affect the performance of knowledge access: i) high quality metadata acquisition, which concerns how to ensure high quality while gathering semantic metadata from heterogeneous data sources; ii) semantic search, which addresses how to meet the information querying needs of ordinary end users who are not necessarily familiar with the problem domain or the supported query language; and iii) semantic browsing, which concerns how to help users understand and explore the problem domain.