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 Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
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
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
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
Admissions Apply Now