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

Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Feature based Transfer Function Design for Volume Rendering
Feature based Transfer Function Design for Volume Rendering
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Smart Services and Optimization for Microgrids (SSOM)
Smart Services and Optimization for Microgrids (SSOM)
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
Admissions Apply Now