AUTOMS: automated ontology mapping through synthesis of methods
Konstantinos Kotis, Alexandros G. Valarakos, George A. Vouros · 2006
Abstract. AUTOMS is a tool for the automatic alignment of domain ontologies. To ensure high precision and recall with the minimum human involvement, AUTOMS integrates several matching methods. This paper presents the tool and the results obtained for the ontologies within the framework of the OAEI 2006 contest. Particularly, the synthesis of lexical, semantic and structural matching methods, together with the exploitation of concept instances resulted in a rather high recall with space of improvement, and a quite high precision that shows the accuracy of the individual methods, as well as of their synthesis. 1 Presentation of the system 1.1 State, purpose, general statement In this paper we present the AUTOMS tool for the automatic alignment of ontologies. The proposed tool exploits the HCONE-merge [1] ontology mapping method, which is based on “uncovering ” the informal intended meaning of concepts by mapping them to WordNet senses. Furthermore, AUTOMS integrates the HCONE-merge