Effective semantic Web services discovery using usability

Namgoong, Hyun; Chung, Moonyoung; Kim, Kyung-il; Cho, HyeonSung; Chung, Yunku

doi:10.1109/icact.2006.206435

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…This approach was presented in [9], [10], [11], [12] and [13]. In [9], M. Paolucci, et al, propose a matchmaking algorithm having two input/output concepts as inputs and one of four degrees of match as output, that are Exact, Plug-in, Subsumes and Fail.…”

Section: Related Work and Researchmentioning

confidence: 99%

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An edge-based approach for semantic matchmaking of service capabilities

Adala¹,

Tabbane²,

Tabbane³

2011

2011 International Conference on Communications, Computing and Control Applications (CCCA)

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Semantic Web Services is an emerging technology that promises to enable dynamic, execution-time discovery, composition, and invocation of Web Services. Semantic matchmaking plays a vital role in the automated and dynamic discovery process of Semantic Web Services and consists in measuring the semantic distance between a requested service and an advertised one. In this paper, an innovative approach to effectively compute the semantic distance between Ontology Web Language for Services (OWL-S) annotated services is proposed. First, an edge-based method for measuring the semantic distance between Web Ontology Language (OWL) concepts is presented. Then, a comparison of the proposed measure and the one presented in a recent related work is made in order to show that our method is more efficient and fine-grained. Finally, some equations to compute semantic matchmaking of service capabilities, which are expressed in terms of inputs and outputs, are presented.

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Section: Related Work and Researchmentioning

confidence: 99%

“…It presents also a prototype implementation for a matchmaking agent based on Racer [17] reasoner and Jena API [18]. In [11], a two step matchmaking algorithm is presented. In the first step, the degree of match between concepts is calculated based on the algorithm proposed by Paoulucci.…”

Section: Related Work and Researchmentioning

confidence: 99%

An edge-based approach for semantic matchmaking of service capabilities

Adala¹,

Tabbane²,

Tabbane³

2011

2011 International Conference on Communications, Computing and Control Applications (CCCA)

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“…The algorithm calculates the similarity of service matching according to the classification of services, the IO of service, the precondition of service, the effect of service and QOS. Namgoong, H [4] also think that take the usability as indicator to measure the similarity of service matching on the basis of the IOPE. OWL-S and its predecessor DAML-S all are Description Logic (DL) based ontology, a lot of researches consider to take the advantage of the logic description language.…”

Section: Related Workmentioning

confidence: 99%

Research of Ontology-Based Agricultural Geographic Information Service Matchmaking

Shi¹,

Zhu²,

Feng³

et al. 2012

AEF

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Abstract.A semantic model is proposed in this paper for geographic information service composition. It descript the content of service and user request semantically based on ontology, it takes process model of composited service into account to improve the efficiency of service matching Algorithm. The matchmaker affords to obtain the services list as result to meet the intent of user by advanced matching Algorithm. The result of experiment shows that the method this paper proposed performs well.

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“…In [6], the author addressed a special vector algorithm to compute the similarity of the service request and advertisement service. In [7], the presented algorithm calculates usability and semantic matching between the client's request and the advertisement. The usability provides predicated value meaning how the advertisement is similar to the request in the formality.…”

Section: Introductionmentioning

confidence: 99%

An OWL-S Based Adaptive Service Discovery Algorithm for Mobile Users

Peng

Wang

2008

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing

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Nowadays, there are numerous web services with specific capabilities within various networks, which can be used by mobile users. How to find a suitable service is a challenging task for a user and matchmaking is the key for the service discovery. In this paper we propose a matching algorithm measuring the similarity of the request with each of the advertised services based on OWL-S. As a description language of semantic Web services, OWL-S increases flexibility of Web service description, enriches expressiveness and provides a capability-based mechanism of Web service discovery. In order to obtain a precise matching result the user profile is taken into account in the presented algorithm. The proposed technique is applied to a sample test and experimental results are presented demonstrating the effectiveness of the idea.

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Effective semantic Web services discovery using usability

Cited by 8 publications

References 6 publications

An edge-based approach for semantic matchmaking of service capabilities

An edge-based approach for semantic matchmaking of service capabilities

Research of Ontology-Based Agricultural Geographic Information Service Matchmaking

An OWL-S Based Adaptive Service Discovery Algorithm for Mobile Users

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