SemSearch: A search engine for the semantic web

Lei, Yuangui; Uren, Victoria and Motta, Enrico (2006). SemSearch: A search engine for the semantic web. In: Staab, S. and Svatek, V. eds. Managing Knowledge in a World of Networks. Berlin: Springer, pp. 238–245.

DOI: https://doi.org/10.1007/11891451_22

Abstract

Existing semantic search tools have been primarily designed to enhance the performance of traditional search technologies but with little support for ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query languages. This paper presents SemSearch, a search engine, which pays special attention to this issue by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective.

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• Item ORO ID
• 16047
• Item Type
• Book Section
• ISBN
• 3-540-46363-1, 978-3-540-46363-4
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
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