The dramatic increase in the use of knowledge discovery applications requires end users to
write complex database search requests to retrieve information. Such users are not only …

The Semantic Web anticipates integrated access to a large number of information sources
on the Internet represented as Resource Description Framework (RDF). Given the large …

Relational databases are considered one of the most popular storage solutions for various
kinds of data and they have been recognized as a key factor in generating huge amounts of …

Heterogeneous database integration is the study of integrating data from multiple
databases. Integrating the heterogeneous database of the same domain has three main …

The aim of converting relational database into Ontology is to provide applications that are
based on the semantic representation of the data. Whereas, representing the data using …

This paper proposes a novel approach to automatic transformation of relational databases to
ontologies, where the quality of transformation is also considered. A relational database is …

Semantic integration became an attractive area of research in several disciplines, such as
information integration, databases and ontologies. Huge amount of data is still stored in …

Today, databases provide the best technique for storing and retrieving data, but they suffer
from the absence of a semantic perspective, which is needed to reach global goals such as …

Resource Description Framework (RDF) can seen as a solution in today's landscape of
knowledge representation research. An RDF language has symmetrical features because …

This paper proposes an approach to automatic transformation of relational databases to
ontologies, where constraints CHECK are also considered. A relational database is written …