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URN etd-0822105-135845 Statistics This thesis had been viewed 3250 times. Download 1483 times. Author Yu-chih Su Author's Email Address No Public. Department Computer Science and Enginerring Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 74 Title Ontology-Driven Web Information Extraction for the Creation of Metadata in Semantic Web Keyword Semantic web Information Extraction Information Extraction Semantic web Abstract With the problem of information explosion on the web, people need an efficient way to extract the information they really need. Semantic web is an emerging technology working by building a metadata layer upon the current web and using the metadata description language to describe the resources on the WWW. It is an extension of current Web where information is given well-defined meaning, better, enabling computers and people to process in cooperation.
In this thesis, we design and implement an system that is able to extract the domain events from a large number of relevant documents and to provide the semantic service. The architecture consists of three parts: Back End Extraction Components, Ontology-based store and Service Front End. The Back End consists of several components used to extract the domain events. The ontology-based store is served as a common interface which takes extracted domain events as input and exports the specific format data as output and provide specific repository for specific data format to store. The Service Front End provides several semantic services. After building the whole system, we make the evaluation for our system by extract some specific domain events from the relevant documents and figure out which reasons can influence the result of extraction.
Advisor Committee Ching-Long Yeh - advisor
Jin-Cherng Lin - co-chair
Yuh-Jong Hu - co-chair
Files Date of Defense 2005-07-28 Date of Submission 2005-08-22