With the development of the semantic web, ontology is playing an increasingly important role in many research areas such as semantic interoperability and knowledge base. However, constructing ontology manually is complicated and needs the supports of domain experts in knowledge acquisition as well, so it is time-consuming, error-prone and tedious-work. Learning ontology from existing resources ...

We propose a novel approach to reverse engineering of relational databases to ontologies. Our approach incorporates two main sources of semantics: HTML pages and a relational schema. This incorporation results in that: (1) only minimal information about a relational database is required to build an ontology; and (2) the ontology is no longer “impaired” by bad-database design, and by optimizatio...

Several mapping schemes have recently been proposed to store XML data in relational tables. Relational database systems are readily available and can handle vast amounts of data very efficiently, taking advantage of physical properties that are specific to the relational model, like sortedness or uniqueness. Tables that originate from XML documents, however, carry some further properties that c...

Extensible markup language (XML), a simplified version of standard generalized markup language (SGML), is designed to enable electronic text interchange in the Internet. XML documents have a rigorously described structure that may be analyzed by computers and easily understood by humans. Most current approaches store XML documents in file systems or in relational database systems. However, the ...

This paper shows how relational databases can be used to define a bridging mechanism between relational database and OWL ontology. We demonstrate on a simple yet completely elaborated example how mapping information stored in relational tables can be processed using SQL to generate RDF triples for OWL class and property instances. This technology provides the means to use relational database as...

2 Database Management Systems 3 2.1 Three-Schema Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Organisation of an Integrated Database System . . . . . . . . . . . . . . . . . . . . 5 2.3 Hierarchical and Network Databases . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.4 Relational Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....