Domain Content and Knowledge Integration Based on Web Information Extraction and Ontology Fusion

• Main Authors: Chun-Ming Chiu, 邱俊銘
• Other Authors: Shian-Hua Lin
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/97147903245979374336

碩士 === 國立暨南國際大學 === 資訊工程學系 === 98 === In this thesis, we applied web mining techniques to automatically collect a large number of scattered websites and pages directory information for extract highly domain-related information. The intelligent system is then proposed to analyze the structures of websites and directories and extract the structural knowledge as simple ontologies for the domain. Each simple ontology is corresponding to a portal directory that consists of relationships between “catalog and the catalog”, “catalog and object”, and “object and object”. Fusing these ontologies into the Domain Ontology (DO) is feasible since those are extracted from domain-related websites and directories. Based on three types of relationships, “concept-based”, “object-based” and “relation-based” fusion approaches are proposed and integrated into the ontology-fusion processes. Experiments show that the fused DO is not only used as the largest domain portal directory, the DO is also better than any portal sites for organizing the structure knowledge and browsing-and-finding objects.