Master Thesis Defense by Muhammad Faheem
Mr Muhammad Faheem defended his master thesis on 'Implementation of Semantic Desktop Tool'.
Mr Muhammad Faheem defended his master thesis on 'Implementation of Semantic Desktop Tool' at FUB on Friday, 8 October 2010.
Abstract: New technologies coming from different fields of research may converge for implementing new and more sophisticated office automation systems. One of these technologies allows modern operating system to store in the file system Meta information regarding content of various types of documents such as instant messages, media files, contacts and office documents. However, the organization of this Meta Information in a knowledge base, that could lead users to perform intelligent query, is a new challenge for ontology engineers. With increasing storage capacities in personal computer, searching the world wide web has become more efficient than searching one’s own personal computer. In the thesis we address the problem of retrieving cross data that comes from different documents within the file system using an ontology which was built through a bottom up process. Furthermore, we specify a design methodology that could help ontology engineer to create ontology exploiting database design methodology. Starting from the data - meta information about documents - retrieved using spotlight APIs, we build a first simple knowledge base constituted by a database in fourth normal form. We develop methodology to devise a conceptual schema from the constraints specified over the raw data. We will use well defined algorithm to fill database and the assertion space which is the A-Box of the ontology. Moreover, an automatic Description Logic Reasoner provides inference about the concepts represented in the ontology with the purpose of helping users to build a query which retrieves cross data coming from different documents. In conclusion our work presents a bottom up approach for the creation of ontology about document’s meta information. With the purpose of putting the basis for developing a new office automation tool that uses Description Logic reasoning algorithm. The approach has been used as reference for setting up a design methodology.