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

Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
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
Capacity,bit error rate and performance revaluations of MIMO based communication Systems on minimized multipath environment
Capacity,bit error rate and performance revaluations of MIMO based communication Systems on minimized multipath environment
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Study on Rural Water Management & Usage
Study on Rural Water Management & Usage
Admissions Apply Now