Supplying Data for an RDF Based Content Management System

Personalized Internet Services have become an important topic of research and study. The concept of personalization is possible only with a system that can integrate and deliver data that are present in large number of repositories. An 'e-Travel system' being developed by the 'Agent Lab' group aims to provide personalized services to its customers in the travel domain. The main objective of this thesis was to propose an architecture for the content management system (CMS), which is an integral part of the e-Travel system. CMS's responsibilities include gathering and integrating data from varied sources (Web pages, Relational Databases, RDF dumps). In this attempt, many existing architectures for CMS were studied. Most of these architectures were based on either lazy (on demand) or eager (data warehousing) approach for data integration. Studies and requirements proved that an ideal architecture will be the one in which some data is pre fetched, processed, integrated (using a global ontology) and stored in the database, while other data, when not present in the database, is fetched and processed upon user queries. As a result, an architecture that uses Resource Description Framework (RDF) for representing the travel domain was developed. This architecture was implemented using Jena - a Java framework for building Semantic Web applications. The functionality of this architecture was studied with the help of 'Verified Content Providers' - sources of data that are considered reliable and whose structures and topologies are known beforehand. 'Time Adaptive' capability built within the architecture determined how often these sources are visited in search of updated content.Computer Science Departmen