Name
Abstract | ||
|---|---|---|
This paper focuses on Web services matchmaking. It distinguishes three types of matching: functional attribute-level, functional service-level, and non-functional. In this paper, a series of parameterized and highly customizable algorithms are advertised for the different types of matching. A prototype has been developed and used to test the functional attribute-based conjunctive matching using the SME2 environment and the OWLS-TC4 datasets. Results show that the algorithms behave globally well in comparison to similar existing ones. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-27030-2_7 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
Web service,Service composition,Matchmaking,Quality of service,Similarity measure | Data mining,World Wide Web,Parameterized complexity,Qos aware,Similarity measure,Computer science,Quality of service,Service composition,Web service,Semantic matching | Conference |
Volume | ISSN | Citations |
226 | 1865-1348 | 1 |
PageRank | References | Authors |
0.37 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salem Chakhar | 1 | 88 | 12.88 |
| Alessio Ishizaka | 2 | 320 | 24.57 |
| Ashraf Labib | 3 | 31 | 4.56 |