scholarly journals Context Aware Web Service Discovery for Service Composition using Term Expansion and Context Analysis

2015 ◽  
Vol 114 (15) ◽  
pp. 30-34
Author(s):  
Priya S ◽  
Saravana Balaji B
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Discovery ◽  
Context Aware ◽  
Context Analysis ◽  
Web Service Discovery

Context-Aware Web Service Clustering and Visualization

2020 ◽  
Vol 17 (4) ◽  
pp. 32-54
Author(s):  
Banage T. G. S. Kumara ◽  
Incheon Paik ◽  
Yuichi Yaguchi
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
Search Space ◽  
Context Aware ◽  
Specific Context ◽  
Web Service Discovery ◽  
Domain Specific ◽  
Clustering Approach ◽  
Service Clustering

With the large number of web services now available via the internet, web service discovery has become a challenging and time-consuming task. Organizing web services into similar clusters is a very efficient approach to reducing the search space. A principal issue for clustering is computing the semantic similarity between services. Current approaches do not consider the domain-specific context in measuring similarity and this has affected their clustering performance. This paper proposes a context-aware similarity (CAS) method that learns domain context by machine learning to produce models of context for terms retrieved from the web. To analyze visually the effect of domain context on the clustering results, the clustering approach applies a spherical associated-keyword-space algorithm. The CAS method analyzes the hidden semantics of services within a particular domain, and the awareness of service context helps to find cluster tensors that characterize the cluster elements. Experimental results show that the clustering approach works efficiently.

Towards Web Service Discovery Based on Context-Aware

2012 ◽  
Vol 601 ◽  
pp. 325-331
Author(s):  
Shu Gao ◽  
Hua Huang ◽  
Bing Ge
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
The Other ◽  
Context Information ◽  
Context Aware ◽  
Web Service Discovery ◽  
Traditional Service ◽  
Domain Information ◽  
The Web

Nowadays, a lot of services which do not meet user’s the requirements are returned while searching web services with traditional service discovery, and moreover, the efficiency is very low. On the other hand, current service directory specifications do not focus on context-aware. In this paper, a novel, enhanced model for the web service discovery, which is based on context-aware, is proposed, and the context information and domain information are integrated to filter and sort services during the process of service discovery. By this way, the precision and efficiency of the service discovery can be improved.

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