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rental Expert locating System (ELS)

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220.00$

Project Domain / Category
Web Mining/Information Retrieval
Abstract / Introduction
In this era of Internet, World Wide Web (WWW) has become an ultimate source of
information for the people from all walks of life. Due to the big collection of non-uniform Web data, it is a challenging task for the users to find their relevant information.
Finding experts who have the appropriate skills and knowledge for a specific domain, academic program and research field etc. has become an important academic activity. Expert Locating System (ELS) is very helpful for students, organizations, industries and academic institutes to find experts of their needs. The aim of this project is to develop a web application which will facilitate students and academic
institutes in finding experts of their choice. This application will act as search engine to extract faculty related information from different (at least 200) academic institutes including Universities, colleges and other Training institutes. This includes faculty name, highest
qualification, expertise area, expertise type (Teaching, res
earch, coaching etc.), experiences
(in years) and affiliation(s) and store them in the database. Students are
required to develop their own Web crawler for extracting these
information. Students are also needed to develop an attractive user interface for entering search query and displaying query results.
This project has the following basic modules:
1.
Web
Crawler:
Web search engines work by storing information about many web pages, which they retrieve from the HTML
itself. These pages are retrieved by a Web crawler which is an automated Web browser which follows every
link on the site. The contents of each page are
then analysed to determine how it should be indexed.
2.
Front end for query processing and their
results:
The front

end presents a search bar for users and the query processor parses the request and executes
the search. The results are displayed by the
front

end.
3.
Ranking of
experts:
Based on the user query, experts will be ranked in descending order. Ranking will be done on the basis of
faculty total experience in their relevant domain i.e Teaching, Research and Coaching etc. The system will
display only
top 5 experts at a time.
4.
Data
base:
A database will be maintained for storing faculty information extracted by the crawler. Administrator of the
Web application will run the crawler and populate the database with the updated information.
Tools:
1.
C#, .Net and Sql
Server
2.
PHP, MySql and
Dreamweave

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