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xhRank: ranking entities on the Semantic Web

He, X. and Baker, M. (2010) xhRank: ranking entities on the Semantic Web. In: ISWC 2010, The International Semantic Web Conference 2010, 07-11 November 2010, Shanghai, China.

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Abstract/Summary

In general, ranking entities (resources) on the Semantic Web (SW) is subject to importance, relevance, and query length. Few existing SW search systems cover all of these aspects. Moreover, many existing efforts simply reuse the technologies from conventional Information Retrieval (IR), which are not designed for SW data. This paper proposes a ranking mechanism, which includes all three categories of rankings and are tailored to SW data.

Item Type:Conference or Workshop Item (Poster)
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:8185

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