Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

An Effective Web Services Discovery Strategy for Web Services Composition

Authors: Derong Shen; Ge Yu 0001; Yu Cao; Yue Kou; Tiezheng Nie;

An Effective Web Services Discovery Strategy for Web Services Composition

Abstract

With the popularity of Web services, how to discover suitable Web services to support Web services composition has become a challenge. Traditional keyword search is insufficient due to its lower recall and precision. This paper proposes an effective Web service discovery strategy based on Web services description information. In this paper, the description information for Web services is divided into operation information named as WSDL attributes and profile information, where profile information consists of service function information and service constraint information, and they are represented as general attributes and instance attributes respectively. Based on the information and ontology knowledge, three steps are adopted for discovering Web services. Firstly, according to WSDL attribute, the heterogeneities of service operations are resolved. Secondly, based on general attributes, the Web services to meet the function requirement of customers are found. Thirdly, a matching model is applied based on instance attributes and suitable Web services are obtained and provided for customers. The service discovering approach is simple, available and become highly effective by introducing semantics, moreover, it has been applied to e_Scope successfully

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!