IISWS: Integrative Intelligent System for a Multi-Domain Diversified Semantic Search

Gerard Deepak, A. Santhanavijayan
2021 International Semantic Intelligence Conference  
The information density is steeply rising over the World Wide Web and there is an urgent need of an integrative intelligent approach for facilitating recommendations from the Web owing to the data density of the Web. Knowledge-Driven Web-based recommendation systems are required to reduce the cognitive gap between the user query and the recommendable contents. An Integrative Intelligent approach for knowledge-centric recommendations from the Web has been proposed with the unification of SPARQL
more » ... ndpoints from several heterogeneous sources through a domain indexing service that yields reasonable dynamic knowledge into the recommendation framework. The approach integrates classification, Synonymization, Intertwining with RDF, and a cognizable semantic similarity model for recommendation of queries and thereby the user relevant web pages with the diversification of search results. The proposed IISWS furnishes an overall accuracy of 91.84% with a small FDR of 0.1 for the WebKB Corpus dataset. A Normalized Discounted Cumulative Gain of 0.91 has been achieved by the IISWS.
dblp:conf/isic2/DeepakA21 fatcat:zfcwsr744vhcrnxvncn5nsme2m