https://doi.org/10.1109/ICSC.2010.47">
 

Ranking Documents Semantically Using Ontological Relationships

Document Type

Article

Abstract

Although arguable success of today’s keyword based search engines in certain information retrieval tasks, ranking search results in a meaningful way remains an open problem. In this work, the goal is to use of semantic relationships for ranking documents without relying on the existence of any specific structure in a document or links between documents. Instead, real-world entities are identified and the relevance of documents is determined using relationships that are known to exist between the entities in a populated ontology. We introduce a measure of relevance that is based on traversal and the semantics of relationships that link entities in an ontology. We expect that the semantic relationship-based ranking approach will be either an alternative or a complement to widely deployed document search for finding highly relevant documents that traditional syntactic and statistical techniques cannot find.

Digital Object Identifier (DOI)

https://doi.org/10.1109/ICSC.2010.47

APA Citation

Aleman-Meza, B., Arpinar, I. B., Nural, M. V., & Sheth, A. P. (2010). Ranking Documents Semantically Using Ontological Relationships. 2010 IEEE Fourth International Conference on Semantic Computing Proceedings, 299-304. https://doi.org/10.1109/ICSC.2010.47

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