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

Experimental Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Experimental Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Modernization of Metallurgy Laboratory for Mechanical Testing, Metal Forming and Quantitative Metallurgical Microstructure Analysis
Modernization of Metallurgy Laboratory for Mechanical Testing, Metal Forming and Quantitative Metallurgical Microstructure Analysis
3D Modelling from MRI Images
3D Modelling from MRI Images
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Development and Prototyping of ICT enabled Smart Charging Network Components
Development and Prototyping of ICT enabled Smart Charging Network Components
Admissions Apply Now