RiMOM2: A Flexible Ontology Matching Framework

نویسندگان

  • Zhichun Wang
  • Xiao Zhang
  • Lei Hou
  • Juanzi Li
چکیده

With the development of the Linking Open Data (LOD) project, large amount of semantic datasets have been published on the Web. Due to the open and distributed nature of the Web, the published data may be heterogeneous both in the schema level and instance level. Matching the entities of different datasets is very important for integrating information from different data sources. Recently, much work has been done in the domain of ontology matching to resolve the schema heterogeneity problem. However, there is lack of a unified framework for matching entities both in the schema level and instance level. This paper presents a tool RiMOM2 which provides a framework for both ontology schema matching and instance matching.

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تاریخ انتشار 2011