Year: 2018
Type: article
Abstract: The volume of data on the Web is increasing rapidly.The rapidly increased data in Web have brought an urgent need to develop a method to organize that data.At the same time, the level of user expectation of getting pré cised data is increased highly.Hence, it is tough to satisfy the user satisfaction through the existing system.In this paper, we proposed a model to organize the large volume of data over the Web and retrieve the more relevant data to the user.As an implementation of the proposed model, we built two demo search engine (one for RDF based semantic searching and another for existing searching).We use two different sets of data for testing.For every set of data, the RDF based searching returns more pré cised data than existing searching.The efficiency of the proposed model is better than the existing searching strategies.In the proposed model, we considered both traditional web and RDF based ontology library to organize the data effectively.
Authors: Md. Motiur Rahman, Ferdusee Akter
Institution: Chattogram Veterinary and Animal Sciences University
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2890657383