Title :
OntoLTCn: A Chinese Text Oriented Semi-auto Ontology Knowledge Discovery Tool
Author :
Jiang, Ying ; Dong, Hui ; Xiong, Haoyi
Author_Institution :
Sch. of Inf. Manage., Wuhan Univ., Wuhan
Abstract :
Ontology (RDF/OWL) plays a foundational role of semantic Web for knowledge representation. But nowadays there are few Chinese ontology bases available, which hinders the research and development of Chinese Semantic Web applications. This paper introduces an ontology knowledge discovery tool, named OntoLTCn, which supports semi-auto domain ontology acquisition from Chinese corpus. In brief, OntoLTCn is a Protege plug-in based on OntoLT platform, which integrates Chinese NLP and XML pattern mapping technologies for knowledge discovery. A case study in Chinese e-government domain is discussed as well, which shows the usability of OntoLTCn for ontology construction from digital archives.
Keywords :
data mining; natural language processing; ontologies (artificial intelligence); semantic Web; text analysis; Chinese NLP; Chinese corpus; Chinese e-government domain; Chinese ontology; Chinese semantic Web application; Chinese text oriented semiauto ontology knowledge discovery tool; OntoLTCn; RDF/OWL; XML pattern mapping; semiauto domain ontology acquisition; Computer science; Data mining; Electronic government; Java; Libraries; OWL; Ontologies; Resource description framework; Semantic Web; XML; Knowledge Discovery; Ontology Learning;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.788
