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 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
Use of geo-textile fabric and pervious concrete to prevent coastal erosion in sandy soil beaches of Kerala
Use of geo-textile fabric and pervious concrete to prevent coastal erosion in sandy soil beaches of Kerala
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
Unifying the design of Heterogeneous Systems
Unifying the design of Heterogeneous Systems
Hybrid Composite for Aviation Applications
Hybrid Composite for Aviation Applications
Admissions Apply Now