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xhRank: Ranking Entities for Semantic Web Searching

Authors:
Xin He
Mark Baker

Keywords: semantic web; ranking; RDF resource; semantic search; query

Abstract:
In general, ranking entities (resources) on the Semantic Web is subject to importance, relevance, and query length. Few existing Semantic Web search systems cover all of these aspects. Moreover, many existing efforts simply reuse techniques from conventional Information Retrieval, which are not designed for Semantic Web data. This paper proposes a ranking mechanism, which includes all three categories of rankings and is tailored to Semantic Web data. Our experimental results show that this approach is effective.

Pages: 62 to 68

Copyright: Copyright (c) IARIA, 2011

Publication date: November 20, 2011

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-175-5

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011