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

Structured Dialogues for Sustainable Urban Water Management
Structured Dialogues for Sustainable Urban Water Management
Alternate materials for improving dynamic response and damping properties for machine tool structures
Alternate materials for improving dynamic response and damping properties for machine tool structures
Decoding of Turbo Product Codes using Deep Learning Technique
Decoding of Turbo Product Codes using Deep Learning Technique
Smart Pharmacist For Visually Impaired
Smart Pharmacist For Visually Impaired
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
Admissions Apply Now