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.

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.

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.

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.

A QoS-aware approach for runtime discovery, selection and composition of semantic web services

2016 ◽  
Vol 12 (2) ◽  
pp. 177-200 ◽  
Author(s):  
Sanjay Garg ◽  
Kirit Modi ◽  
Sanjay Chaudhary
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
User Satisfaction ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Functional Requirements ◽  
Semantic Description ◽  
Content Type ◽  
The Web

Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.

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.

Semantic Web Service Discovery in the WSMO Framework

2011 ◽  
pp. 281-316 ◽  
Author(s):  
U. Keller ◽  
R. Lara ◽  
H. Lausen ◽  
D. Fensel
Keyword(s):  
Web Services ◽  
Conceptual Framework ◽  
Web Service ◽  
Service Discovery ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Practical Applications ◽  
Semantic Web Service Discovery ◽  
Different Levels ◽  
The Web

The Web service modeling ontology (WSMO) provides a conceptual framework for semantically describing Web services and their specific properties. In this chapter we discuss how WSMO can be applied for service discovery. We provide a proper conceptual grounding by strictly distinguishing between service and Web service discovery and then present different techniques for realizing Web service discovery. In order to cover the complete range of scenarios that can appear in practical applications, several approaches to achieve the automation of Web service discovery are presented and discussed. They require different levels of semantics in the description of Web services and requests, and have different complexity and precision.

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