WSGM-SD: An Approach to RESTful Service Discovery Based on Weighted Service Goal Model

2016 ◽  
Vol 25 (2) ◽  
pp. 256-263 ◽  
Author(s):  
Neng Zhang ◽  
Zheng Li ◽  
Keqing He ◽  
Jian Wang
Keyword(s):  
Service Discovery ◽  
Goal Model ◽  
Restful Service ◽  
Service Goal

Test-Oriented RESTful Service Discovery with Semantic Interface Compatibility

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Shang-Pin Ma ◽  
Ying-Jen Chen ◽  
Yang Syu ◽  
Hsuan-Ju Lin ◽  
Yong-Yi FanJiang
Keyword(s):  
Service Discovery ◽  
Restful Service

scholarly journals Reduction of Search Space in Restful Service Discovery

2019 ◽  
pp. 143-152
Author(s):  
G. Venugopal ◽  
P. Radhika Raju ◽  
A. Ananda Rao
Keyword(s):  
Web Services ◽  
Service Discovery ◽  
Nearest Neighbor ◽  
Search Space ◽  
Unit Testing ◽  
It Services ◽  
K Nearest Neighbor ◽  
Business Services ◽  
Service Unit ◽  
Restful Service

Web Services has been enabled IT services and computing technology to perform business services more efficiently and effectively. REpresentational State Transfer (REST) is to be used for creating Web APIs/services. In the existing system, web service search engines for RESTful Web Services/Api’s provide Keyword, Tag and Semantic based search functions. One of the RESTful service discovery, referred as Test-oriented RESTful service discovery with Semantic Interface Compatibility (TASSIC) have been developed by the search of RESTful Service’s/Api’s. TASSIC approach will search the semantic characteristics of search and match interface terms in the service document. An inability to consider the classification and in finding the suitable Api’s or services are a key issue of the search space in Tassic. A new approach has proposed for reduction of the search space in restful service discovery to develop a k-Nearest Neighbor classification algorithm. it provide candidate services with ranking based on semantic similarity, and classifying of similar candidate services and service unit testing will be considered. This approach is meant for increasing search precision in the retrieval and quick search for classifying their RESTful services or Api according to user-defined criteria.

Mining and clustering service goals for RESTful service discovery

2018 ◽  
Vol 58 (3) ◽  
pp. 669-700 ◽  
Author(s):  
Neng Zhang ◽  
Jian Wang ◽  
Keqing He ◽  
Zheng Li ◽  
Yiwang Huang
Keyword(s):  
Service Discovery ◽  
Restful Service

The health behaviour goal model

1995 ◽  
Author(s):  
S. Maes ◽  
W.A. Gebhardt
Keyword(s):  
Health Behaviour ◽  
Goal Model

A Study on Different Web Service Discovery Approaches

2018 ◽  
Vol 6 (9) ◽  
pp. 311-314
Author(s):  
Rahul P. Mirajkar ◽  
Nikhil D. Karande ◽  
Surendra Yadav
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Web Service Discovery
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