Title :
Formal concept analysis based ontology merging method
Author :
Guan-yu, Li ; Shu-peng, Liu ; Zhao Yan
Author_Institution :
Dept. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
With the growing usage of ontologies, different ontologies are constructed in the same domain from different specialist´s knowledge structures, this results in ontology heterogeneity, and the interoperability of ontologies is seriously blocked by ontology heterogeneity. It is known that Ontology Merging is an effective approach to solve this problem, so a novel method FCA-OntMerge for ontology merging is proposed in this paper. Firstly, ontologies are converted to formal context (the storage format of Concept Lattice). Secondly, the strict and perfect mathematical principle of concept lattice is obeyed to merge. Finally, a new ontology is generated. In terms of general performance, the experimental verification result reveals that the proposed method works well in solving the problem of ontology heterogeneity.
Keywords :
formal specification; merging; ontologies (artificial intelligence); semantic Web; FCA-OntMerge; formal concept analysis; interoperability; knowledge structures; ontology heterogeneity; ontology merging method; Context; Ontologies; formal concept analysis; formal context; ontology; ontology heterogeneity; ontology merging;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564899