Expert locating System Project for BSCS BSIT MCS BSSE

Expert locating System Project for BCS BSIT MCS BSSE

Expert locating System (ELS)

Project Domain / Category

Web Mining/Information Retrieval

Abstract / Introduction

In this era of the Internet, the World Wide Web (WWW) has become an ultimate source of information for 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 that will facilitate students and academic institutes in finding experts of their choice.

This application will act as a 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, research, coaching, etc.), experiences (in years) and affiliation(s) and stores them in the database.

Students are required to develop their own Web crawler for extracting this information. Students are also needed to develop an attractive user interface for entering a 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 analyzed to determine how it should be indexed.

  1. 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.

  1. Ranking of experts:

Based on the user query, experts will be ranked in descending order.

The 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 the top 5 experts at a time.

  1. Database:

A database will be maintained for storing faculty information extracted by the crawler. The administrator of the Web application will run the crawler and populate the database with the updated information.

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