Documents are records of activities and related knowledge generated from organizational operations. With the trend of more and more documents being stored in the digital form, how to manage this knowledge has become an important issue. The first step is to manage knowledge is to activate the content of knowledge. These documents stored in an organization can not only be retrieved for future reference but also be analyzed to assist managers in making the right decision. Therefore, it is important for a organization to develop document-driven DSS that can discover useful knowledge from a large amount of documents in an organization.
Most previous research on document management are focused on the indexing, retrieval and mining of documents, few applications have investigate how this technology can be used to construct knowledge for decision support. The purpose of this research is to propose an approach for developing document-driven DSS. In particular, the research proposes a methodology that combines ontology, indexing, and information retrieval technology to develop event scheme that can be used as a basis for the document-driven DSS. A prototype system has been designed to analyze documents collected from a journal ranking exercise to demonstrate the feasibility of the proposed approach.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0210106-102835 |
| Date | 10 February 2006 |
| Creators | Liu, Yu-liang |
| Contributors | Ting-peng Liang, Hsiang-chu Lai, San-yi Huang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0210106-102835 |
| Rights | campus_withheld, Copyright information available at source archive |
Page generated in 0.0018 seconds