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

Low Cost Synthesis of CdS Nanostructures
Low Cost Synthesis of CdS Nanostructures
MiG Aircraft and Kamov Helicopter
MiG Aircraft and Kamov Helicopter
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Impact of Surface Micro-Structure Modification using Plasma & its Wetting Behavior on the Corrosive Surface
Impact of Surface Micro-Structure Modification using Plasma & its Wetting Behavior on the Corrosive Surface
Admissions Apply Now