Matching directories and OWL ontologies with AROMA

This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model, such as the association rule paradigm, this method has the originality to be both extensional and asymmetric. It works at the terminological level (by selecting conceptrelevant terms contained in documents) and permits to discover equivalence and also subsumption relations holding between entities (concepts and properties). This method relies on the implication intensity measure, a probabilistic model of deviation from independence. Selection of significant rules between concepts (or properties) is lead by two criteria permitting to assess respectively the implication quality and the generativity of the rule. Categories and Subject Descriptors: H.2.5 Database Managment: Heterogeneous Databases General Terms: Measurement, Algorithms.

• Type: Conference
• Year: 2006
• Where: CIKM
• Authors: Jérôme David, Fabrice Guillet, Henri Briand
• Keywords: Adaptable Matching Method, Association Rule Paradigm, CIKM 2006, Implication Intensity Measure, Information Management