Name
Abstract | ||
|---|---|---|
Web service discovery is a challenging task that has received a lot of interest in the last decade. Several approaches have been proposed, however, many limitations remain. In this paper, we focus on collaborative semantic discovery of RESTful services according to the HATEOAS principle. We propose an approach based on 1) semantic links between services; 2) user profile clustering to dynamically measure user similarity for queries in a similar context, and 3) a user profile ontology to manage users and corresponding services. A prototype has been implemented to evaluate our proposal and show its effectiveness. (C) 2017 The Authors. Published by Elsevier B.V. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.procs.2017.08.235 | Procedia Computer Science |
Keywords | Field | DocType |
RESTful Web services,linked services,user profile ontology | Data mining,Services computing,Ontology,World Wide Web,User profile,Computer science,OWL-S,HATEOAS,Web service,Cluster analysis | Conference |
Volume | ISSN | Citations |
112 | 1877-0509 | 1 |
PageRank | References | Authors |
0.37 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sana Ben Abdallah Ben Lamine | 1 | 2 | 2.78 |
| Hajer Baazaoui Zghal | 2 | 76 | 23.99 |
| Michael Mrissa | 3 | 255 | 29.13 |
| Chirine Ghedira Guegan | 4 | 1 | 1.72 |