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%.

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.

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.

The Extended Algorithm of the Bipartite Graph Matching Semantic Web Service Discovery

2014 ◽  
Vol 886 ◽  
pp. 677-680
Author(s):  
Bing Yue Liu
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Bipartite Graph ◽  
Service Discovery ◽  
Graph Matching ◽  
Recall Rate ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Bipartite Graph Matching ◽  
Semantic Web Service Discovery

In previous work, the ontology-based algorithm of bipartite graph matching semantic web service discovery was presented. But in these algorithms, the problem of finding augment path was not resolved very well. It will affect the recall rate and precision rate of web service discovery. In order to resolve these problems, this paper proposes an ontology-based bipartite graph matching semantic web service discovery algorithm, which extends the optimal bipartite graph matching algorithm. It uses the slack function to find the augment path in the equivalent sub graph. The algorithm also contributes to the improvement of the recall rate and precision rate of the service discovery.

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.

PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

2011 ◽  
Vol 20 (04) ◽  
pp. 357-370 ◽  
Author(s):  
D. PAULRAJ ◽  
S. SWAMYNATHAN ◽  
M. MADHAIYAN
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Model ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Functional Part ◽  
Service Oriented ◽  
Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

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