Keyword search is an efficient data retrieval method for the WWW, largely because the simple and efficient nature of keyword processing allows a large amount of information to be searched with fast response. However, keyword search methods do not formally capture the clear meaning of a keyword query and fail to address the semantic relationships between keywords. As a result, the accuracy (precision and recall rate) is often unsatisfactory and the ranking algorithms fail to properly reflect the semantic relevance of keywords. Our research particularly focuses on increasing the accuracy of search results for multi-word search. We propose a statistical ontology-based semantic ranking algorithm based on sentence units and a new type of query interface including wildcards.
S. Jayasundar, V.N. Rajavarman and V. Saishanmuga Raja. Ontology Based Efficient Multi Keyword Query Interface for Search Engines.
DOI: https://doi.org/10.36478/ajit.2018.197.201
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2018.197.201