Web-Based Multi-Viewpoint Knowledge Tracking Based On Information Extraction and Ontology Thanadol wattanaluthewong

Nowadays, most documents are created and stored in electronic files both in intranet and internet. Documents are the source of knowledge. To manage documents in user’s point of view, users must read and cluster a group of document by themselves. For achieving their viewpoints, they lost much time to acquire their knowledge. Users have their own viewpoints that are different such as viewpoint of category, viewpoint of author or viewpoint of published year etc. This paper presents the approach to multi-viewpoint knowledge tracking using Information Extraction and Ontology to add and change the viewpoint dynamically. The approach has 3 processes: 1) Document Classification 2) Information Extraction 3) Viewpoint generating. This paper makes any individual users possible to change their viewpoint.