Title :
Enterprise Architecture for Semantic Web Mining in Education
Author :
Nayak, Amar ; Agarwal, Jitendra ; Yadav, Vinod Kumar ; Pasha, Shadab
Author_Institution :
Dept. of IT, SOIT, Bhopal, India
Abstract :
Web mining is the use of data mining technologies to automatically interact and discover information from Web documents, which can be in structured, unstructured or semi-structured form. The Web has become a major vehicle in performing research and education related activities for researches and students. There is tremendous amount of information and knowledge existing on the Web and waiting to be discovered, shared and utilized. We present an enterprise Web framework regarding semantic Web and mining in training institute, which can be used to not only improve the quality of Web mining results but also enhances the functions and services and the interoperability of educational information systems and standards in the educational field. Mining the educational information on the Web we are using new Semantic Web Mining technologies, such as Resource description Framework (RDF) and Web Ontology Language (OWL). For online educational institute Web site two important ontology´s would need to be built one ontology describing all the educational services provided, with the relation between each other and the other ontology describing the Web site. Thus semantic Web ontology help build better Web mining analysis in educational institute and Web mining in-turns helps contract basis more powerful ontology in education.
Keywords :
Web sites; computer based training; data mining; educational administrative data processing; educational institutions; information systems; knowledge representation languages; open systems; semantic Web; OWL; RDF; Web ontology language; education; educational information systems; enterprise architecture; interoperability; online educational institute Web site; resource description framework; semantic Web mining; student; training institute; Data mining; Educational technology; Information systems; OWL; Ontologies; Resource description framework; Semantic Web; Service oriented architecture; Vehicles; Web mining; Data Mining; OWL; Ontology; RDF; Semantic web mining; XML;
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
DOI :
10.1109/ICCEE.2009.222