IAMA Results for OAEI 2013
Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv · 2014
Abstract. This paper presents the results of IAMA on OAEI 2013. IAMA (Institute of Automation’s Matcher) is an ontology matching system with the capability to deal with large scale ontologies. IAMA is designed to find out the correspondences between two ontologies by using multiple similarity measures. Candidate filtering technique is adopted when processing ontologies at large scale. 1 Presentation of the system 1.1 State, purpose, general statement Large amount of ontologies has been published since the semantic web emerged. However, managing the heterogeneity among various ontologies is still a problem [1]. For example, many ontologies describe the same entity (i.e., class or property) using different terminologies, while the entities having the same name belonging to different ontologies may refer to disparate objects. Finding the matching between different ontologies is still challenging. Ontology matching, as a solution to the aforementioned problem, has received great interests in these years. The principal goal of IAMA is to discover equivalent entities rapidly between d-