| Abstract |
In today’s data-rich environment, the demand for effective database queries has intensified.
Researchers are actively seeking methods to enhance information retrieval processes. Our paper
explores three key strategies: combining datasets, constructing a database ontology, and
implementing semantic information retrieval with the ontology.Firstly, merging datasets allows
for a comprehensive pool of information, enabling more thorough analysis and extraction of
insights. Secondly, the development of a database ontology provides a structured framework for
organizing and categorizing data, facilitating more efficient queries. Finally, leveraging semantic
information retrieval based on the ontology enhances the precision and relevance of search results
by understanding the contextual meaning of queries and data relationships.Our paper have
explained retrieval using D2RMAP approach and SPARQL approach.By integrating these
approaches, our research aims to streamline information retrieval processes, making them more
effective and user-friendly in navigating the complexities of modern databases. This holistic
approach promises to advance the field of database management and contribute to more informed
decision-making in various domains. |
