Targeted Search and Match-making using Web Mining and Case-based Reasoning

While a significant number of tools have been developed to extract from web repositories information relevant to some search criteria, the unstructured nature of the returned information limits the ability to extract automatically concise and meaningful profiles. The purpose of this project is to develop anintelligent framework using case-based reasoning and semantic similarity to encode expert knowledgeon extracting meaningful and concise profiles for individuals and organizations, and enable effectivematching of the profiles. The proposed framework will enable the automation of Riipen Networks’online students-companies matchmaking platform.

Faculty Supervisor:

Dr. Issa Traore

Student:

Mehrnaz Bayaki

Partner:

Riipen Networks Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Victoria