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