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Web Service Query Selection for a Professional Social Network Members

Ninawe, Swapnil S and Venkataram, Pallapa (2015) Web Service Query Selection for a Professional Social Network Members. In: 9th International Conference on Next Generation Mobile Applications, Services and Technologies, SEP 09-11, 2015, Emmanuel Coll, Univ of Cambridge, Cambridge, UNITED KINGDOM, pp. 29-34.

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Official URL: http://dx.doi.org/10.1109/NGMAST.2015.60

Abstract

The emergence of social networks have opened a new paradigm for Web practises from an individual (called as an actor or a member) to a professional students groups to exchange their information with their contemporaries quickly and efficiently. The social networking enables to set up relations among the actors who share common interests, activities or connections. The blending of a social network with good Web practises is the new area of research, which has opened new opportunities for activity based actors to be aware of the developments in their area without themselves asking for the information. In this paper, we present Web Service Query Selection for a Professional Social Network Members (WSQSPSNM) by considering actor's characteristic features like personal information, professional information, etc., which reflects on the Web queries generated by actors. In this method, we classify professional group members based on their hierarchical and equivalence relations with respect to professional activities. In the case of any group of actors raises a Web query, the proposed system selects appropriate Web service query for the rest of the group members based on the allocated weights, relations and level of actors. The designed WSQSPSNM is tested over an Academic Social Network (ASN) which constitutes a set of actors related to the academic profession. If any one of them raises a professional Web query, the system generates appropriate Web queries for all the group members based on relations and level. We have simulated different sets of academic professionals, and results were obtained for the average time required by a set of Web queries of actors and the accuracy of the model.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 08 Oct 2016 06:36
Last Modified: 08 Oct 2016 06:36
URI: http://eprints.iisc.ac.in/id/eprint/54739

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