Service-oriented Architecture is now an important issue when it comes to program development. However, there is not yet an efficient and effective way for developer to obtain appropriate component. Current researches mostly focus on either textual meaning or ontology relation of the services. In this research we propose a hybrid approach that integrates both types of information. It starts by defining important attributes and their weights for web service discovery using Multiple Criteria Decision Making. Then a method of similarity calculation based on both textual and ontological information is applied. In the experiment, we collect 103 real-world Web services, and the experimental results show that our approach generally performs better than the existing ones.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0613111-043738 |
| Date | 13 June 2011 |
| Creators | Tsai, Yu-Huai |
| Contributors | Wan-Shiou Yang, San-Yih Hwang, Fu-Ren Lin |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613111-043738 |
| Rights | withheld, Copyright information available at source archive |
Page generated in 0.0017 seconds