Semantic Query Optimisation with Ontology Simulation

TL;DR

This paper presents a semantic query optimization method using ontology simulation to improve information retrieval efficiency in the Semantic Web, demonstrated through an Indian universities ontology example.

Contribution

It introduces a novel algorithm for semantic search optimization utilizing ontology simulation, enhancing retrieval accuracy and efficiency.

Findings

Improved semantic search efficiency demonstrated through simulation.

Effective ontology-based retrieval of university information.

Time savings in information access achieved.

Abstract

Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word "Semantic" refers to "meaning" - a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days where an individual had to struggle for finding information on the Internet where knowledge management was the major issue. The semantic web has a vision of linking, integrating and analysing data from various data sources and forming a new information stream, hence a web of databases connected with each other and machines interacting with other machines to yield results which are user oriented and accurate. With the emergence of Semantic Web framework the na\"ive approach of searching information on the syntactic web is clich\'e. This paper proposes an optimised semantic searching of keywords exemplified by simulation an ontology of Indian universities with a proposed algorithm which ramifies the effective semantic retrieval of information which is easy to access and time saving.