Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
A snapshot of public web services
ACM SIGMOD Record
Similarity-based Web Service Matchmaking
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
A Vector Space Search Engine forWeb Services
ECOWS '05 Proceedings of the Third European Conference on Web Services
User Feedback-Based Refinement for Web Services Retrieval using Multiple Instance Learning
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Automatic Matchmaking of Web Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
A Framework for XML Web Services Retrieval with Ranking
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
WSXplorer: searching for desired web services
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Contemporary web service discovery mechanisms
Journal of Web Engineering
Leveraging web services discovery with customizable hybrid matching
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
Intelligent Agent Based Model for Auction Service Discovery in Mobile E-Commerce
International Journal of E-Business Research
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With proliferation of published Web services, the task of finding relevant ones for the developers of service oriented application becomes more and more difficult. Several existing tools or mechanisms allow this discovery; however, those approaches often skip different elements such as service's quality, reuse, evolution and users' comment making the discovery result feebly relevant to requesters' need and prevent the requesters from using up-to-date and available web services efficiently. In this research work, we present a framework for web service discovery taking into account the reuse of web service search result through caching technique, the quality of service through qualitative test result, the web service's evolution through version track technique and we provide a novel scheme of discovery using user's annotating information.