Abstract
To realize the vision of the Semantic Web, effective techniques of Information Retrieval need to be developed. Ranking the results of a search is one of the main challenges of an Information Retrieval system. In this paper we present a technique for ranking the results of a Semantic Web query. The ranking is based on various factors including the Semantic Web resource importance. We have modified a World-wide Web link analysis technique that has been effectively used to identify important Web pages to calculate the importance of Semantic Web resources. Our ranking technique has been utilized for ranking the query results of a Biomedical Patent Semantic Web.
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Bamba, B., Mukherjea, S. (2005). Utilizing Resource Importance for Ranking Semantic Web Query Results. In: Bussler, C., Tannen, V., Fundulaki, I. (eds) Semantic Web and Databases. SWDB 2004. Lecture Notes in Computer Science, vol 3372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31839-2_14
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DOI: https://doi.org/10.1007/978-3-540-31839-2_14
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