Semantics Based Automatic Check Detection

Authors

  • Sushant Gaikwad  Department of Computer Science, V.O.G.C.E, University, Mohili, Maharashtra, India
  • Neha Bhoir  Department of Computer Science, V.O.G.C.E, University, Mohili, Maharashtra, India
  • Mayuri Nimase  Department of Computer Science, V.O.G.C.E, University, Mohili, Maharashtra, India
  • Jyoti Vekhande  Department of Computer Science, V.O.G.C.E, University, Mohili, Maharashtra, India
  • Prof. Priya Shimpi  Department of Computer Science, V.O.G.C.E, University, Mohili, Maharashtra, India

Keywords:

Semantic, Ontology, Syntax-Based

Abstract

Most of the web services exist without explicit associated semantic descriptions. As a result many services that are relevant to a specific user service request may not be considered during service discovery. In this project, we address the issue of web service discovery given no explicit service description semantics that match a specific service request. Our approach to semantic based web service discovery involves semantic-based service categorization and semantic enhancement of the service request. ontology framework based solution achieves the functional level. Additionally, I utilize clustering for accurately classifying the web services based on service functionality

References

  1. Oldham, C. Thomas, A. Sheth, and K. Verma, “METEOR-S Web Service Annotation Framework with Machine Learning Classification,” Semantic Web Services and Web Process Composition,vol. 3387, pp. 137-146, Jan. 2005.
  2. V. Paliwal, N. Adam, and C. Bornhoevd, “Adding Semantics through Service Request Expansion and Latent Semantic Indexing,”Proc. IEEE Int’l Conf. Services Computing (SCC), July 2007.
  3. V. Paliwal, N. Adam, H. Xiong, and C. Bornhoevd, “Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery,” Proc. IEEE/WIC/ACM Int’l Conf. Web Intelligence, 2006.
  4. Sajjanhar, J. Hou, and Y. Zhang, “Algorithm for Web Services Matching,” Proc. Asia-Pacific Web Conference (APWeb), pp. 665-670,2004. for Information Science, vol. 41,no. 4, pp. 288-297, 1990.
  5. Salton and C. Buckley, “Improving Retrieval Performance by Relevance Feedback,” J. Am. Soc.

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Sushant Gaikwad, Neha Bhoir, Mayuri Nimase, Jyoti Vekhande, Prof. Priya Shimpi, " Semantics Based Automatic Check Detection, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.32-36, January-February-2018.