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

Polymer Nanocomposites for Inflatable Space Structures
Polymer Nanocomposites for Inflatable Space Structures
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
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Unifying the design of Heterogeneous Systems
Unifying the design of Heterogeneous Systems
Admissions Apply Now