Ontology based Semantic Description and Registration of Mathematical Web Services

Sheeba, Adlin; Padmakala, S.; Subasini, C. A.

doi:10.1109/i-smac47947.2019.9032661

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Sheeba et al propose mathematical web service semantic description and registration by ontology. They use an ontology tree to catalog the mathematical web service characteristics, about functional as well nonfunctional [15]. Nguyen and Kuo present a web service discovering through ontology matching semantic relationships.…”

Section: Background and Related Workmentioning

confidence: 99%

Service Partition Method Based on Particle Swarm Fuzzy Clustering

Xia

Dong

Gao

et al. 2021

Wireless Communications and Mobile Computing

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It is difficult to accurately classify a service into specific service clusters for the multirelationships between services. To solve this problem, this paper proposes a service partition method based on particle swarm fuzzy clustering, which can effectively consider multirelationships between services by using a fuzzy clustering algorithm. Firstly, the algorithm for automatically determining the number of clusters is to determine the number of service clusters based on the density of the service core point. Secondly, the fuzzy c -means combined with particle swarm optimization algorithm to find the optimal cluster center of the service. Finally, the fuzzy clustering algorithm uses the improved Gram-cosine similarity to obtain the final results. Extensive experiments on real web service data show that our method is better than mainstream clustering algorithms in accuracy.

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Section: Background and Related Workmentioning

confidence: 99%

Service Partition Method Based on Particle Swarm Fuzzy Clustering

Xia

Dong

Gao

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The identical operations, when utilized in the area of polynomials with algebraic variety coefficients may need to return totally one of the type results. A. Sheeba et al formed the registration architecture where the broker gives an interface to providers in which they can pick the mathematical domain [34], additionally furnish functional and non-functional semantics of Web services. The interface makes use of ontology tree for classification of services.…”

Section:  Interoperablementioning

confidence: 99%

Study on Web Services Architectural Operations and Performance

Ahamad

2020

IJSRCSE

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The applications of World Wide Web facilitated to get entry to diverse data available in different sources on the Internet. The success of the Web was somehow limiting because of poor discovering processes to find these data over Internet resources. For solving the shortcomings, some modifications were suggested into Web-based systems. The environment of Web was completely changed through these innovative modifications. For implementing interactive Web operations, traditional data has changed from static documents collection to dynamic intelligent data integrated over Webbased systems. The proposed modifications were implemented in the form of a pioneer technology called as Web services (WS). This paper presents a study conducted about Web services interactions, interoperability, architecture, operations and performance. The paper presents about architectural operations of Web services and how they are implemented to make Web services functional. It also highlights performance issues and entails the applied solutions. Web services are the fundamental elements of service-oriented systems to make them interactive and functionable.

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