ARCMA: An Approach to Find Complex Matching between Conceptual Hierarchies
Fatma Kaâbi, Faı̈ez Gargouri · Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises · 2012
This paper presents a extensional and asymmetric matching approach designed to find out complex matching between entities issued from two conceptual hierarchies (web directories or OWL ontologies n). In this approach, we use the association rule and a statistical measure developed in this context to discover implicative and conjunctive mapping containing complex matching. This matching approach is divided into three parts: (1) the term or data sets extraction, (2) the discovery of complex subsumption relations between two conceptual hierarchies and (3) elimination of the redundancies in matcher found.