Title :
Research of Ontology Merging Based on Concept Similarity
Author :
Zhen-Xing, Wu ; Xing-Yan, Tian
Abstract :
This paper describes the detailed solutions of ontology merging based on semantic similarity between concepts, and provides a new idea of ontology merging for traditional manual method. Firstly, the formal context converted with the source ontology is analyzed. Then, according to the graph structure of each concept in Word Net, the implicit semantic similarity between concepts is computed. Finally, the target merging ontology is generated.
Keywords :
Algorithm design and analysis; Color; Context; Lattices; Merging; Ontologies; Semantics; Concept Lattice; Concept Similarity; Ontology Merging;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
DOI :
10.1109/ICMTMA.2015.204
