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Ontological Description and MAS based Composition Process of SWS's for Recruitment Domain

by Alankar Srivastava, Shruti Saxena, Chandrabhan Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 19
Year of Publication: 2013
Authors: Alankar Srivastava, Shruti Saxena, Chandrabhan Singh
10.5120/10746-5696

Alankar Srivastava, Shruti Saxena, Chandrabhan Singh . Ontological Description and MAS based Composition Process of SWS's for Recruitment Domain. International Journal of Computer Applications. 64, 19 ( February 2013), 42-47. DOI=10.5120/10746-5696

@article{ 10.5120/10746-5696,
author = { Alankar Srivastava, Shruti Saxena, Chandrabhan Singh },
title = { Ontological Description and MAS based Composition Process of SWS's for Recruitment Domain },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 19 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number19/10746-5696/ },
doi = { 10.5120/10746-5696 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:05.315182+05:30
%A Alankar Srivastava
%A Shruti Saxena
%A Chandrabhan Singh
%T Ontological Description and MAS based Composition Process of SWS's for Recruitment Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 19
%P 42-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It seems that information is spread over internet and to retrieve useful information easily by mean of intelligent computing is the growing field of research. This need gives birth to semantic web services and various approaches are given for composition of these services. The key problem is to fulfill user's request. Intelligent Agents are used as a powerful approach for semantic web services selection and composition. Agent can be viewed as a self contained autonomous software component or say codes which is used for fulfillment of users request in any domain. Here in this paper semantic web services and agent capability is used for Man-Power Recruitment System (MPRS). Ontology of domain is used as a complete domain knowledge. Tools like Protégé is used to create agent profile which shows the ontological description of recruitment domain. This paper focuses on how multi-agent system provides a new variety for recruitment system. This paper also spotlights to show an interactive recruiter for Man-Power Recruitment System (MPRS). Here service selection, task decomposition and service composition process of semantic web is exposed on the basis cognitive parameters, predilection and situation for man-power recruitment system.

References
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  2. Ermolayev V. , N. Keberle, Sergey P. , Kononenko, Terziyan towards a Framework for Agent-Enabled Semantic Web Service Composition, Int. Jl. Of Web Services Research, 1(3),pp 63-87.
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  7. Chandrabhan Singh, Sanjay Sachan and Mohit Gangwar. Article: MAS based Selection and Composition Process of SWS's for Medical Health Care Planning System. International Journal of Computer Applications 60(16):40-44, December 2012. Published by Foundation of Computer Science, New York, USA.
  8. Alankar Srivastava, Chandrabhan Singh, Mohit Gangwar "Utilization of Multi Agent System for MPRS" presented in International Conference on Artificial Intelligence and Soft Computing (AISC 2012) at IIT-BHU on 7th – 9th Dec 2012.
  9. Hernam, I. , Swick, R. and Brickley, D. , Resource Description Framework (RDF), W3C Website, http://www. w3. org/RDF.
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  11. Stanford Center for Biomedical Informatics Research. Protégé, http. stanford. edu/.
Index Terms

Computer Science
Information Sciences

Keywords

Man-Power Recruitment System Recruiter Man-Power Recruitment (MPR) Domain Ontology Agent Semantic Web

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