RiMOM Results for OAEI 2009

In this report, we give a brief explanation of how RiMOM obtains the results at OAEI 2009 Campaign, especially in the new Instance Matching track. At first, we show the basic alignment process of RiMOM and different alignment strategies in RiMOM. Then we give new features in instance matching compared with traditional ontology matching (schema matching) and introduce the specific techniques we used for the 3 different subtracks of Instance Matching Track. At last we give some comments on our results and discuss some future work about RiMOM. 1 Presentation of the system Ontology matching is the key technology to reach interoperability over ontologies. In recent years, much research work has been conducted for finding the alignment of ontologies[1]. Many automatic matching algorithms achieves good results in real world data. With the development of Linked Data[2], huge amount of semantic data are available through the web. Thus instance matching, a special branch of ontology matching,...

• Type: Conference
• Year: 2009
• Where: SEMWEB
• Authors: Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li, Jie Tang
• Keywords: Instance Matching, Instance Matching Track, Internet Technology, Ontology Matching, SEMWEB 2009