CroMatcher is an ontology matching system based on terminological and structural matchers. The most important part of the system is automated weighted aggregation of correspondences produced by using different basic ontology matchers. This is the first year CroMatcher has been involved in the OAEI campaign. The results obtained this year will certainly help in finding and resolving shortcomings...

AgreementMakerLight (AML) is an automated ontology matching framework based on element-level matching and the use of external resources as background knowledge. This paper describes the configuration of AML for the OAEI 2013 competition and discusses its results. Being a newly developed and still incomplete system, our focus in this year’s OAEI were the anatomy and large biomedical ontologies t...

This paper presents the results of RiMOM2013 in the Ontology Alignment Evaluation Initiative (OAEI) 2013. We participated in three tracks of the tasks: Benchmark, IM@OAEI2013 , and Multifarm. We first describe the basic framework of our matching System (RiMOM2013); then we describe the alignment process and alignment strategies of RiMOM2013, and then we present specific techniques used for diff...

ODGOMS is a multi-strategy ontology matching system which consists of elemental level, structural level, and optimization level strategies. When it starts to match ontologies, it first exploits appropriate string-based and token-based similarity computing strategies to find preliminary aligned results, and then it filters these results and merges them by using the optimization strategies. Despi...

We briefly present in this paper ServOMap, a large scale ontology matching system, and the performance it achieved during the OAEI 2013 campaign. This is the second participation in the OAEI campaign. 1 Presentation of the system ServOMap [1] is a large scale ontology matching system designed on top of the ServO Ontology Server system [2], an idea originally developed in [3]. It is able to hand...

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 t...

Late-breaking results contain unpublished accounts of innovative research ideas, preliminary results, system prototypes or industry showcases. Project papers introduce newly started research projects. These proceedings contain 9 late-breaking results and 4 project descriptions that were accepted for publication at UMAP 2013. The papers span a wide range of topics related to user modeling and pe...