Enhancing Query hardness detection with answer extraction using Ontology over the relational databases

Abstract

Most of the information retrieval systems in the relational databases need the simpler keywords for the specific attribute in the database. But as the searching system becomes more and more popular the databases are also growing accordingly in gigantic manner. So it is obvious that users are always using complex queries to extract the much desired data from the database if they are not having any prior knowledge about the database structure. If the system is able to provide the complexity or difficulty of the query to the user then he/ she can rearrange the query in much simpler form to get the desired answer. So many systems are been existed to provide the answers for the difficult queries which are working in one or two aspects of the solving issues. So this paper represents an idea of extracting the hardness with the answer for the difficult query in more meaningful manner. The proposed idea is enriched with ontology for the semantic relations of the extracted features from the fired difficult query and inverted indices are used to catalyze the retrieval process more efficiently.
DOI: 10.17762/ijritcc2321-8169.150817