Semantic Web Services Discovery

2018 ◽  
Vol 14 (4) ◽  
pp. 57-72 ◽  
Author(s):  
Randa Hammami ◽  
Hatem Bellaaj ◽  
Ahmed Hadj Kacem
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Traditional Method ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Web Service Discovery ◽  
User Request ◽  
Semantic Web Service Discovery

This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.

scholarly journals Prefiltering Strategy to Improve Performance of Semantic Web Service Discovery

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Samira Ghayekhloo ◽  
Zeki Bayram
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Recall Rate ◽  
Test Collection ◽  
Second Stage ◽  
User Request ◽  
Client Request ◽  
Semantic Web Service Discovery

Discovery of semantic Web services is a heavyweight task when the number of Web services or the complexity of ontologies increases. In this paper, we present a new logical discovery framework based on semantic description of the capability of Web services and user goals using F-logic. Our framework tackles the scalability problem and improves discovery performance by adding two prefiltering stages to the discovery engine. The first stage is based on ontology comparison of user request and Web service categories. In the second stage, yet more Web services are eliminated based upon a decomposition and analysis of concept and instance attributes used in Web service capabilities and the requested capabilities of the client, resulting in a much smaller pool of Web services that need to be matched against the client request. Our prefiltering approach is evaluated using a new Web service repository, called WSMO-FL test collection. The recall rate of the filtering process is 100% by design, since no relevant Web services are ever eliminated by the two prefiltering stages, and experimental results show that the precision rate is more than 53%.

A Semantic Web Service Discovery Method Based on Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 878-883
Author(s):  
Wen Ya Tian ◽  
Zhu Jun Xu
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Prototype System ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Discovery Method ◽  
Semantic Web Service Discovery ◽  
The Web

Many methods have been used such as UDDI and DWS to discovery requested web services. But they are just a kind of simple syntax match based on keywords and have a low ratio and precision. This paper proposes A Semantic Web Service Discovery Method Based on Ontology. It uses tree-form data structure to describe the web services and give all the nodes a weight value by certain strategy, then compute the semantic similarity between the web services requested and the services registered. To validate the feasibility and effectiveness of the algorithm, we construct a self-developed prototype system to show how well it works. The experiments prove that this algorithm has high recall and precision than other methods.

A Survey of Web Service Discovery Systems

2011 ◽  
pp. 266-281
Author(s):  
Le Duy Ngane ◽  
Angela Goh ◽  
Cao Hoang Tru
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Rapid Development ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
The Core ◽  
Semantic Web Service Discovery ◽  
The Web

Web services form the core of e-business and hence, have experienced a rapid development in the past few years. This has led to a demand for a discovery mechanism for Web services. Discovery is the most important task in the Web service model because Web services are useless if they cannot be discovered. A large number of Web service discovery systems have been developed. Universal Description, Discovery and Integration (UDDI) is a typical mechanism that stores indexes to Web services but it does not support semantics. Semantic Web service discovery systems that have been developed include systems that support matching Web services using the same ontology, systems that support matching Web services using different ontologies, and systems that support limitations of UDDI. This paper presents a survey of Web service discovery systems, focusing on systems that support semantics. The paper also elaborates on open issues relating to such discovery systems.

WSMO and WSMX Support to the Semantic Web Services Technology

2014 ◽  
pp. 30-47
Author(s):  
Mariam Abed Mostafa Abed
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Execution Environment ◽  
Service Modeling ◽  
The Web

This paper tests the ability of the Web Service Modeling Ontology (WSMO) and the Web Service Modeling eXecution environment (WSMX) to support the Semantic Web Services technology, and automate the process of web service discovery, selection and invocation. First, it introduced web services and their limitations that were overcome in the vision of the Semantic Web Services technology. Then a Semantic Web Service (SWS) was built on top of WSMO to access the publications of the German University in Cairo (GUC), and was registered to WSMX. To test the validity to the claim, a service request to access the publications of the GUC was sent to WSMX and the process followed by WSMX was investigated. Furthermore, the discussion added a suggestion that would enhance the transparency between the Semantic Web and WSMO-WSMX initiatives.

Survey of Web Service Discovery Systems

2009 ◽  
pp. 254-269 ◽  
Author(s):  
Le Duy Ngan ◽  
Angela Goh
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Rapid Development ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
The Core ◽  
Semantic Web Service Discovery ◽  
The Web

Web services form the core of e-business and hence, have experienced a rapid development in the past few years. This has led to a demand for a discovery mechanism for web services. Discovery is the most important task in the web service model because web services are useless if they cannot be discovered. A large number of web service discovery systems have been developed. Universal Description, Discovery and Integration (UDDI) is a typical mechanism that stores indexes to web services but it does not support semantics. Semantic web service discovery systems that have been developed include systems that support matching web services using the same ontology, systems that support matching web services using different ontologies, and systems that support limitations of UDDI. This paper presents a survey of web service discovery systems, focusing on systems that support semantics. The paper also elaborates on open issues relating to such discovery systems.

WSMO and WSMX Support to the Semantic Web Services Technology

2011 ◽  
Vol 6 (2) ◽  
pp. 40-56
Author(s):  
Mariam Abed Mostafa Abed
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Execution Environment ◽  
Service Modeling ◽  
The Web

This paper tests the ability of the Web Service Modeling Ontology (WSMO) and the Web Service Modeling eXecution environment (WSMX) to support the Semantic Web Services technology, and automate the process of web service discovery, selection and invocation. First, it introduced web services and their limitations that were overcome in the vision of the Semantic Web Services technology. Then a Semantic Web Service (SWS) was built on top of WSMO to access the publications of the German University in Cairo (GUC), and was registered to WSMX. To test the validity to the claim, a service request to access the publications of the GUC was sent to WSMX and the process followed by WSMX was investigated. Furthermore, the discussion added a suggestion that would enhance the transparency between the Semantic Web and WSMO-WSMX initiatives.

scholarly journals A CAN-Based P2P Infrastructure for Semantic Web Services

2005 ◽  
Author(s):  
Nizamuddin Channa ◽  
Shanping Li ◽  
Wei Shi ◽  
Gang Peng
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Service Systems ◽  
P2p Network ◽  
Semantic Web Services ◽  
Single Node ◽  
Web Service Discovery ◽  
P2p System

After merger of Web Services and Semantic Web, Semantic Web Services (SWS) has received a lot of attention from researchers due to its ability of automatic Web Service discovery, execution and composition. Currently Web Service systems, which publish WSDL-described Web Services in UDDIs, cannot support SWS and UDDI has become the bottleneck of the whole system and would cause single node failure problems. Therefore, we propose a CAN-based P2P system to replace traditional UDDI, by distributing the functions of the UDDI among all the peers in the P2P network. At the same time, we design an ontology-based mechanism, guaranteeing every service would be registered on a specific peer in the CAN-based P2P network, according to the service’s ontology. By replacing the UDDI, our system improves the scalability and stability of the SWS system, and realizes an efficient ontology-based discovery of Semantic Web Services.

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