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Exploiting Web Search to Access IEEE papers

Author(s): Bidisha Roy | Machado Joy | Melcia Raj | Gnana Sonica

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: icwet;
Issue: 12;
Date: 2012;
Original page

Keywords: Clustering | Web People Search | WePS | Named Entity | Web Querying | Crawling | Indexing

Web People Search (WePS) is a desktop application which aims to find relevant pages from the web related to a person's name. The project work is targeted to design an advanced version of the deep extraction tool using Clustering Algorithm. In this research work, the focus is mainly on querying for personal information of scientists and researchers. The user has to set the proper target name for search, which when completed, the user will receive complete PDF files based on the search. Each group of information items (cluster) will be defined by its key and the user make the choice. The result page will be produced from the chosen clusters. For making the search operationally accurate, we will assume the usage of research and conference doc files as they carry a standard format of name, e-mail ID, publication, images, and links to the full images.

Tango Jona
Tangokurs Rapperswil-Jona

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