Title : 
A Lattice Metric for Evaluating Ontology Hierarchies
         
        
            Author : 
Hu, He ; Du, Xiao-yong
         
        
            Author_Institution : 
Renmin Univ. of China, Beijing
         
        
        
        
        
        
        
            Abstract : 
Similarity metrics are used for ontology matchmaking, clustering, comparisons and evolutions evaluation in Semantic Web enabled applications. In this paper, we put forward a novel lattice based ontology similarity metric and its corresponding assessment algorithm for comparing different ontology hierarchies. The proposed lattice-based metric has unique advantages as it provides a unified method which takes into account not only concept nodes but also the hierarchy relationships between concepts in the ontology; it has been validated by experiment on spatiotemporal ontologies and some other domain ontologies, which shows the potential applicability of the proposed method.
         
        
            Keywords : 
ontologies (artificial intelligence); semantic Web; domain ontologies; lattice metric; ontology hierarchies; semantic Web; similarity metrics; spatiotemporal ontologies; Application software; Clustering algorithms; Cybernetics; Documentation; Helium; Laboratories; Lattices; Machine learning; Ontologies; Semantic Web; Ontology engineering; Ontology evolution; Similarity measure;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics, 2007 International Conference on
         
        
            Conference_Location : 
Hong Kong
         
        
            Print_ISBN : 
978-1-4244-0973-0
         
        
            Electronic_ISBN : 
978-1-4244-0973-0
         
        
        
            DOI : 
10.1109/ICMLC.2007.4370823