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Abstract: |
A configurable ontology mapping approach based on different kinds of concept feature information is introduced in this paper. In this approach, ontology concept feature information is classified as five kinds, which respectively corresponds to five kinds of concept similarity computation methods. Many existing ontology mapping approaches have adopted the multi-feature reasoning, whereas not all feature information can be computed in the real ontology mapping and only fractional feature information needs to be selected in the mapping computation. Consequently a configurable ontology mapping model is introduced, which is composed of CMT model, SMT model and related transformation model. Through the configurable model, users can conveniently select the most suitable features and configure the suitable weights. Simultaneously, a related 3-step ontology mapping approach is also introduced. Associated with the traditional name and instance learner-based ontology mapping approach, this approach is evaluated by an ontology mapping application example. |
Key words: ontology mapping configurable concept feature |
DOI:10.11916/j.issn.1005-9113.2009.06.009 |
Clc Number:TP391.41 |
Fund: |