Document Similarity on the Taxonomic Graph

The project shall evaluate and extend the state-of-the-art in document clustering according to semantics extracted from natural language documents. This will require testing of current methods to identify their limitations and proposal of new methods based on empirical observations. Two complementary techniques shall be evaluated: methods for incremental taxonomy growth and for calculating semantic similarity among documents. benefits from this research which aims to increase the value of their taxonomic resources, generate new taxonomic structures and improve the accuracy of their retrieval tasks.

Ashley George
Faculty Supervisor: 
Dr. Evangelos Milios
Nova Scotia