Abstract:
The semantic web is an extension of current web. The concept introduced by
this web is dramatically changing the world of web. This is one of the reasons that it is
often named as future web. The semantic web’s objective is to make web meaningful
and understandable. In the last few years, this area has gained interest from many
researchers, bringing the results in the form of different standards for the semantic web.
The aim of this web is to make web meaningful, understandable and machine
processable. Making use of information on current web for the productiveness of future
web is becoming vital. Heterogeneity of relational data coupled with present web
complicates utilization of information for future web. To use the data associated with
current web it was required to transform it into ontology. The already presented and
provided algorithms merely give the result in user required form. The thesis focuses on
the problem where some of the meta data is available with relational schema and
identification of associations. Protégé is an open source tool that can be used for
ontology development. The DataMaster was developed in BioSTORM [10] project
which supports both OWL and frame-based ontologies. It works as a plug-in for protégé
[11]. Many of these approaches merely give the results in the user required form.
Moreover, the weak entities of the database are also mapped into classes (for example
in datamaster, DataGenie etc). It will be a tough job to find the relationship in the
extracted classes (i.e. ontologies), with a little domain knowledge. Moreover it will
become very tough when the relational schema is of large size. Need of an automated or
semi automated approach for discovering the relationships in the relational schemas was
vital. This presents a scheme for the identification of association in real scenarios,
where there can be very little metadata availability.
