Ranking Documents Semantically Using Ontological Relationships
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)
2010 IEEE Fourth International Conference on Semantic Computing Proceedings, 2010, pages 299-304.
© IEEE, 2011
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