DocumentCode :
596541
Title :
An incremental semantic web service discovery method based on Formal Concept Analysis
Author :
Pei Yang ; Xianzhong Zhou ; Xiaoming Lu ; Kui Wu
Author_Institution :
Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
59
Lastpage :
63
Abstract :
Traditional web service discovery methods usually calculate the matching degrees of user demands and available services one by one, which is time-costing and not suitable for the open, dynamic and large network environment. In this paper, an incremental semantic web service discovery method based on Formal Concept Analysis (FCA) is proposed. Furthermore, the algorithm of constructing the services lattice and retrieving the web services is proposed. Experimental results show that this method can incrementally create the service indexes and significantly improve the service discovery efficiency.
Keywords :
Web services; data mining; formal concept analysis; information retrieval; semantic Web; FCA; Web service retrieval; formal concept analysis; incremental semantic Web service discovery method; service discovery efficiency; service indexes; service lattice; Algorithm design and analysis; Generators; Indexing; Lattices; Ontologies; Semantic Web; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463122
Filename :
6463122
Link To Document :
بازگشت