DocumentCode :
2223056
Title :
Ontology Based Knowledge Modeling of Chinese Genealogical Record
Author :
Jiang, Ying ; Dong, Hui
Author_Institution :
Sch. of Inf. Manage., Wuhan Univ., Wuhan
fYear :
2008
fDate :
14-15 July 2008
Firstpage :
33
Lastpage :
34
Abstract :
This paper presents an ontology based knowledge modeling approach for Chinese Genealogical Record (CGR). Ontology (RDF/OWL) is introduced to modeling static knowledge of CGR, while Ontology Molecule is intended to solve dynamic and multi-granular knowledge modeling problem. Ontology inference and ontology visualization technologies are adopted for more effective and efficient knowledge mining and knowledge representation. This approach involves multiple ontology based technologies, but it is an integrated solution.
Keywords :
data mining; history; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); Chinese genealogical record; OWL; RDF; knowledge mining; knowledge representation; multigranular knowledge modeling; ontology inference; ontology visualization; Conferences; Databases; Engines; Information management; OWL; Ontologies; Resource description framework; Software libraries; Tree graphs; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing and Systems, 2008. WSCS '08. IEEE International Workshop on
Conference_Location :
Huangshan
Print_ISBN :
978-0-7695-3316-2
Electronic_ISBN :
978-0-7695-3316-2
Type :
conf
DOI :
10.1109/WSCS.2008.30
Filename :
4570811
Link To Document :
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