A New Approach for Semantic Web Matching

Zamanifar, Kamran; Heidary, Golsa; Nematbakhsh, Naser; Mardukhi, Farhad

doi:10.1007/978-3-642-16444-6_12

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The similarity rate just considers whether two services are similar, but does not explore how much similar they are and it is more about service composition. And finally, our last work on semantic web matching [2] used bipartite graph for comparing two web services functionalities to find the most similar one. But matching rate was computing with fuzzy methods and was not accurate.…”

Section: V2-194mentioning

confidence: 99%

How to discover a semantic Web service by knowing its functionality parameters

Heidary

Zamanifar

Nematbakhsh

et al. 2010

2010 2nd International Conference on Software Technology and Engineering

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In this work, we show how to discover a semantic web service among a repository of web services. A new approach for web service discovering based on calculating the functions similarity. We define the Web service functions with Ontology Web Language (OWL). We wrote some rules for comparing two web services` parameters. Our algorithm compares the parameters of two web services` inputs/outputs by making a bipartite graph. We compute the similarity rate by using the Ford-Fulkerson algorithm. Higher the similarity, the less are the differences between their functions. At last our algorithm chooses the service which has the highest similarity. As a consequence, our method is useful when we need to find a web service suitable to replace an existing one that has failed. Especially in autonomic systems, this situation is very common and important since we need to ensure availability of the application which is based on the failed web service. We use Universal Description, Discovery and Integration (UDDI) compliant web service registry.

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Section: V2-194mentioning

confidence: 99%

How to discover a semantic Web service by knowing its functionality parameters

Heidary

Zamanifar

Nematbakhsh

et al. 2010

2010 2nd International Conference on Software Technology and Engineering

Self Cite

View full text Add to dashboard Cite

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A New Paradigm Shift for Manufacturing Businesses

2013

Volume 11: Emerging Technologies

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Cloud Manufacturing is emerging as a new manufacturing paradigm which is believed to change the way industries and enterprises do their businesses, in that dynamically scalable and virtualized resources are provided as a service over the Internet. It can transform the traditional manufacturing business model, help it align product innovation with business strategy, and create intelligent factory networks that encourage effective collaboration. This paper introduces the concept of Cloud Manufacturing and its characteristics. The relationship between Cloud Manufacturing and other network-based manufacturing paradigms are analysed, together with a discussion on the connection between Cloud Manufacturing and Cloud Computing, intending to highlight the essence of real Cloud Manufacturing. Existing architecture and key functionalities of Cloud Manufacturing systems are introduced to identify an effective way of implementing Cloud Manufacturing. In this paper, a Cloud Manufacturing platform, called SMC (Sustainable Manufacturing Cloud) is proposed to achieve rapid development of customized products. This is envisioned as a prominent future business model and implementation strategy for Cloud Manufacturing, allowing for the easy realization of customized and original requirements. With an industry network consisting of heterogeneous nodes, being either design agencies or fabrication workshops, product innovation and customization can be achieved with minimum investment and effort.

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