Sciweavers

Share
DKE
2007

Automated ontology construction for unstructured text documents

10 years 4 months ago
Automated ontology construction for unstructured text documents
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extract domain ontology from unstructured text documents. Additionally, fuzzy numbers for conceptual similarity computing are presented for concept clustering and taxonomic relation definitions. Moreover, concept attributes and operations can be extracted from episodes to construct a domain ontology, while non-taxonomic relations can be generated from episodes. The fuzzy inference mechanism is also applied to obtain new instances for ontology learning. Experimental results show that the proposed approach can effectively construct a Chinese domain ontology from unstructured text documents. Ó 2006 Elsevier B.V. All rights reserved.
Chang-Shing Lee, Yuan-Fang Kao, Yau-Hwang Kuo, Mei
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where DKE
Authors Chang-Shing Lee, Yuan-Fang Kao, Yau-Hwang Kuo, Mei-Hui Wang
Comments (0)
books