![](/images/graphics-bg.png)
A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques
Joint Authors
Adala, Asma
Tabbane, Sami
Tabbane, Nabil
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
As a greater number of Web Services are made available today, automatic discovery is recognized as an important task.
To promote the automation of service discovery, different semantic languages have been created that allow describing the functionality of services in a machine interpretable form using Semantic Web technologies.
The problem is that users do not have intimate knowledge about semantic Web service languages and related toolkits.
In this paper, we propose a discovery framework that enables semantic Web service discovery based on keywords written in natural language.
We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description.
Additionally, we present an efficient semantic matching technique to compute the semantic distance between ontological concepts.
American Psychological Association (APA)
Adala, Asma& Tabbane, Nabil& Tabbane, Sami. 2012. A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques. Advances in Multimedia،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-456380
Modern Language Association (MLA)
Adala, Asma…[et al.]. A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques. Advances in Multimedia No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-456380
American Medical Association (AMA)
Adala, Asma& Tabbane, Nabil& Tabbane, Sami. A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques. Advances in Multimedia. 2012. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-456380
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456380