Quotation Sabou, Reka Marta, Maleshkova, Maria, Pan, Jeff Z. 2014. Semantically Enabling Web Service Repositories. In: Semantic Web Enabled Software Engineering, Hrsg. Jeff Z. Pan, Yuting Zhao, 139-157. Amsterdam: IOS Press.


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Abstract

The success of the Web service technology has brought topics such as software reuse and discovery once again on the agenda of software engineers. While there are several efforts towards automating Web service discovery and composition, many developers still search for services via online Web service repositories and then combine them manually. However, from our analysis of these repositories, it yields that, unlike traditional software libraries, they rely on little metadata to support service discovery. We believe that the major cause is the difficulty of automatically deriving metadata that would describe rapidly changing Web service collections. In this paper, we discuss the major shortcomings of current Web service repositories and, as a solution, we report on how to use techniques developed in the context of the Semantic Web (ontology learning, service annotation tools, automatic classifiers, metadata based presentation) to improve the current situation.

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Publication's profile

Status of publication Published
Affiliation External
Type of publication Chapter in edited volume
Language English
Title Semantically Enabling Web Service Repositories
Title of whole publication Semantic Web Enabled Software Engineering
Editor Jeff Z. Pan, Yuting Zhao
Page from 139
Page to 157
Location Amsterdam
Publisher IOS Press
Year 2014
URL https://ebooks.iospress.nl/volumearticle/37263
Open Access N

Associations

People
Sabou, Reka Marta (Details)
External
Maleshkova, Maria (University of Bonn, Germany)
Pan, Jeff Z. (The University of Aberdeen, United Kingdom)
Organization
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1127 Information science (Details)
1138 Information systems (Details)
1140 Software engineering (Details)
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