Ontology-based Semantic Relevance Measure

Semantic relevance among information resources can play an effective role in information retrieval, and there are several different approaches to measure semantic similarities. However, they are usually limited measuring similarities among structured concepts, and some also considers the similarities between individual resources but they are limited to to textual documents. This paper aims to extend the similarity to relevance so that even the relations between completely different resources can also be considered, and explore the possibility of measuring such semantic relevance not limited to a specific structure. The method presented in this paper is a novel measure for semantic relevance among resources that are organised within an ontological structure. Key words: Semantic Relevance, Ontology, Information Search, Knowledge Sharing.

• Type: Conference
• Year: 2007
• Where: SEMWEB
• Authors: Sang Keun Rhee, Jihye Lee, Myon-Woong Park
• Keywords: Resources, Semantic Relevance, Semantic Similarities, SEMWEB 2007