Document Type
Article
Publication Date
9-2010
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.
Repository 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://corescholar.libraries.wright.edu/knoesis/337
DOI
10.1109/ICSC.2010.47
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Paper presented at the IEEE Fourth International Conference on Semantic Computing, Pittsburgh, PA, September 22-24, 2010.