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

Numerical Modelling of Flow-Forming process and Experimental Validation
Numerical Modelling of Flow-Forming process and Experimental Validation
Synthesis of intermediates for biologically active molecules
Synthesis of intermediates for biologically active molecules
Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Social Event Detection
Social Event Detection
Admissions Apply Now