Searching and Ranking Documents based on Semantic Relationships
Authors: Boanerges Aleman-Meza
Abstract: Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an important component in tomorrow's web search technologies. In this paper, I summarize my research on answering the question of: How we can exploit semantic relationships of named-entities to improve relevance in search and ranking of documents? The intuition of my approach is to first analyze the relationships of namedentities with respect to a query. Second, relevance weights, which are assigned by human experts, can then be used to guarantee results within a relevance threshold. These relevance measures can be applied both for searching and ranking of documents
Publication venue: ICDE PhD Workshop 2006
Citation: ICDE PhD Workshop, p. x136, (co-located with 22nd International Conference on Data Engineering), 2006.
Atlanta, GA, USA, April 3, 2006
http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.131
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Keywords: Semantic Analytics, Search, Ranking, Semantic Associations, Ontology, Complex Relationships, Semantic Annotation, Relevance Measures