DocumentCode :
555380
Title :
Mining service abstractions: NIER track
Author :
Athanasopoulos, Dionysis ; Zarras, Apostolos V. ; Vassiliadis, Panos ; Issarny, Valerie
Author_Institution :
Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece
fYear :
2011
fDate :
21-28 May 2011
Firstpage :
944
Lastpage :
947
Abstract :
Several lines of research rely on the concept of service abstractions to enable the organization, the composition and the adaptation of services. However, what is still missing, is a systematic approach for extracting service abstractions out of the vast amount of services that are available all over the Web. To deal with this issue, we propose an approach for mining service abstractions, based on an agglomerative clustering algorithm. Our experimental findings suggest that the approach is promising and can serve as a basis for future research.
Keywords :
Internet; data mining; pattern clustering; service-oriented architecture; NIER track; agglomerative clustering algorithm; service abstraction mining; Algorithm design and analysis; Clustering algorithms; Data mining; Web services; XML; abstraction recovery; agglomerative clustering; services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (ICSE), 2011 33rd International Conference on
Conference_Location :
Honolulu, HI
ISSN :
0270-5257
Print_ISBN :
978-1-4503-0445-0
Electronic_ISBN :
0270-5257
Type :
conf
DOI :
10.1145/1985793.1985954
Filename :
6032558
Link To Document :
بازگشت