Paper Info
Title
Enriching Web Services Tags To Improve Data-Driven Web Services Composition
Abstract
Due to the large number of existing services and complexity of manual composition, automatic service composition is provided to enable automatic search of the service compositions for the given queries. Many solutions for automatic service composition have been developed, including integer programming, graph planning, artificial intelligence, and so on in this paper, a heuristic method is proposed to improve the data-driven composition of web services by enriching tags based on tags semantic. To do so, firstly, useful information on web services is collected from various sources and is turned into collections of tags. In the next step, using the hierarchical clustering algorithm, the tags are clustered based on semantic similarity. Thereafter, for services which do not have enough tags, enrichment of the tag is carried out and finally, using an algorithm, composition solutions based on QoS parameters are extracted, which can formulate user targets or even provide potential compositions. Moreover, a series of tests were conducted on the web services, which validate the efficiency of the proposed approach. The experimental results confirm the effectiveness of the proposed service composition method and high quality of tag enriching strategies.
Year
DOI
Venue
2021
10.13052/jwe1540-9589.2025
JOURNAL OF WEB ENGINEERING
Keywords
DocType
Volume
Service composition, clustering, enrichment tag, data-driven, web service, WSDL
Journal
20
Issue
ISSN
Citations 
2
1540-9589
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Nahid Dara100.34
Sima Emadi212.37