Volume 18, No. 3, 2021
Novel Semantic Approach Based Ranking Algorithm Framework For Advancing Search Engines
Manju More E , Sunil Kumar G , Manjunathswamy B E , Mustafa Basthikodi , Thriveni J and Venugopal KR
Abstract
Now a days, many of the internet users require efficient search engines in order to get the facility of faster web page searching and processes of information retrieval. But the conventional web search engines facing primary challenges of retrieving accurate outcomes for given particular query taking lowest time for response. Conventional search engines also face the challenges of expanding conflicting queries depending on the semantic link of each keyword. Therefore, in this paper, we proposed a novel model for web page ranking using semantic web page retrieval approach for the classification of significant results of queries which are not clear by making use of semantic relations. Experiments are conducted, by evaluating the proposed model with different four scenarios of inputs developed. The results are compared with existing web page ranking mechanisms including the real time search engines. The comparisons of results demonstrated that, the proposed model is in better place.
Pages: 199-212
Keywords: search engine, information retrieval, indexing, semantic ranking, LDA, RDF.