Title :
A new entity similarity measurement based on automatic featuring for ontology mapping
Author :
Wang, Feng-Hsu ; Jou, Jia-He
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Ming Chuan Univ., Taoyuan, Taiwan
Abstract :
Ontology has been one of the best tools to express knowledge, such as classification knowledge of resources on the Web. To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process and improve the overall mapping effectiveness. A novel method of computing the feature weights is proposed. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy.
Keywords :
ontologies (artificial intelligence); automatic featuring; automatic weighting strategy; classification knowledge; new entity similarity measurement; ontology mapping process; ontology representations; Benchmark testing; Birds; Debugging; Humans; Ontologies; Semantic Web; Semantics; Feature Selection; Ontology; Ontology Mapping; Semantic Web;
Conference_Titel :
Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4577-0185-6
Electronic_ISBN :
978-89-88678-37-4