|Title||Ranking Documents Semantically Using Ontological Relationships|
|Publication Type||Conference Paper|
|Year of Publication||2010|
|Authors||Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Mustafa V. Nural, Amit Sheth|
|Keywords||relationship based document relevance, Semantic Association, semantic document ranking, semantic ranking, semantic relationship-based ranking, UIMA|
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.