Back close

Statistical Semantic Networks for Concept and Document Relatedness

School: School of Engineering, Coimbatore

Project Incharge:Dr. Vidhya Balasubramanian
Statistical Semantic Networks for Concept and Document Relatedness

The goal of this project is to improve the ease of generating knowledge representations, so that semantic search can be better supported. The project aims to simplify the process of knowledge representation by using statistical approaches and enhancing their expressivity using graph theoretical approaches. The graphs are generated both at semantic level and document level. Using these representation we develop novel information retrieval applications like web service recommendations for GIS web services and scholar article recommendations based on the sequence of recommended reading.

Related Projects

Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Development of high volume fly ash foam concrete wall Panel using rice straw as thermal insulation material
Development of high volume fly ash foam concrete wall Panel using rice straw as thermal insulation material
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Experimental and numerical investigations of roof slab for future fast breeder reactors
Experimental and numerical investigations of roof slab for future fast breeder reactors
Admissions Apply Now