A Harmony based Adaptive Ontology Mapping Approach

- Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the WWW. Nowadays most ontology mapping approaches integrate multiple individual matchers to explore both linguistic and structure similarity of different ontologies. Thus how to effectively aggregating different similarities is pervasive in ontology mapping. In current aggregation methods, people either have to manually set parameters in aggregation function or need "ground truth" in advance for machine learning based parameter optimization. Both of them have limitation. In this paper, we propose a measure harmony, which is the normalized number of mapping pair that suggests an unambiguous one-to-one mapping, and a harmony based adaptive ontology mapping approach, which can automatically adjust parameters of three kinds of similarities (i.e., edit distance based similarity, profile similarity and stru...

• Type: Conference
• Year: 2008
• Where: SWWS
• Authors: Ming Mao, Yefei Peng, Michael Spring
• Keywords: Aggregation Methods, Internet Technology, Ontology Mapping, Structure Similarity, SWWS 2008