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

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
Ultralight Weight Fire Composite for Habitat and Bunkers
Ultralight Weight Fire Composite for Habitat and Bunkers
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
Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
Admissions Apply Now