Parsing RDFs to Extract Object Oriented Model Using Apache Jena

Abstract

Process model play a vital role in structure analysis of system as it can identify system’s classes, their attributes, operations (or methods), and the relationships among objects. These class models can be go together with state diagrams or UML state machine to identify the behavior of systems. Currently web is huge source of information which contain huge amount of data. Semantic Web idea gain popularity by its efficient manner of data representation over the web. Key concept of semantic web is based on common medium for data representation making data more flexible and support data interoperability. Semantic web stores data in ontology, which provide description of data for domain. Ontology can be written by using different standard languages i.e. XML, RDF, RDFs. RDF give semantic representation of data by showing data as Resources and their associated properties, relations Schema is vocabulary which provide description about classes and properties of RDF resources. RDF file can be manipulated by user for extraction of information in different ways according to requirement of user. In our research we proposed an APACHE Jena based methodology which take RDF file of web information system as input and convert it in to object oriented process model to illustrate structural representation of we system. Therefore “Consuming RDF Schemas for extraction of information in different required manners” is root cause of current research.