This paper intends to provide an overview of automated knowledge extraction and transformation from relational databases and their related sources into Semantic Web ontologies. Issues and challenges in this area are addressed. Knowledge embedded in each part of a relational database is analysed and defined. Corresponding techniques for extracting, acquiring and transforming the knowledge are highlighted. In this paper, we classify previous approaches on this work into two types. A comparison table of the first type of approach is also given
In this paper we discuss the problem of mapping relational database contents and ontologies. The mot...
Abstract. Describing relational data sources (i.e. databases) by means of ontologies constitutes the...
© 2015 IEEE. Sharing and reusing the big data in relational databases in a semantic way have become ...
ABSTRACT: Now days, a large amount of data is available on the internet in the form of structured, u...
Rapid growth of documents, web pages, and other types of text content is a huge challenge for the mo...
Ontologies play a vital role in the Semantic Web. However, ontologies are hard to construct due to ...
Semantic Web refers to a Web of linked data in which data can be shared and reused, allowing more us...
Semantic Web refers to a Web of linked data in which data can be shared and reused, allowing more us...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
<p> Constructing ontologies from relational databases is an active research topic in the Semantic We...
<p> Constructing ontologies from relational databases is an active research topic in the Semantic We...
Relational databases have been designed to store high volumes of data and to provide an efficient qu...
The area of the Semantic Web has got significant importance within both academia and industries. As ...
In this paper we discuss the problem of mapping relational database contents and ontologies. The mot...
Abstract. Describing relational data sources (i.e. databases) by means of ontologies constitutes the...
© 2015 IEEE. Sharing and reusing the big data in relational databases in a semantic way have become ...
ABSTRACT: Now days, a large amount of data is available on the internet in the form of structured, u...
Rapid growth of documents, web pages, and other types of text content is a huge challenge for the mo...
Ontologies play a vital role in the Semantic Web. However, ontologies are hard to construct due to ...
Semantic Web refers to a Web of linked data in which data can be shared and reused, allowing more us...
Semantic Web refers to a Web of linked data in which data can be shared and reused, allowing more us...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
International audienceAdding a semantic dimension to web pages is a response to some problems of the...
<p> Constructing ontologies from relational databases is an active research topic in the Semantic We...
<p> Constructing ontologies from relational databases is an active research topic in the Semantic We...
Relational databases have been designed to store high volumes of data and to provide an efficient qu...
The area of the Semantic Web has got significant importance within both academia and industries. As ...
In this paper we discuss the problem of mapping relational database contents and ontologies. The mot...
Abstract. Describing relational data sources (i.e. databases) by means of ontologies constitutes the...
© 2015 IEEE. Sharing and reusing the big data in relational databases in a semantic way have become ...