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

Development of Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
Development of Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
Indoor Information Representation and Management System (IIRMS)
Indoor Information Representation and Management System (IIRMS)
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Admissions Apply Now