DocumentCode :
2338150
Title :
Automatic learning ontology from relational schema
Author :
Lu Yiqing ; Liu Lu ; Li Chen
Author_Institution :
Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
592
Lastpage :
595
Abstract :
In order to knowledge understanding and communication between different areas, knowledge sharing and coordination require a general conception framework of enterprise knowledge expression and communication, and form shared concept protocol in supply chain. There´re numerous useful history data in existing database of enterprise, and actually relational database contains concept model of related areas. This paper proposes 11 mapping rules to convert relational database schema to ontology. Several actual cases are present to explain these mapping rules, and comparison to some other existing methods is also discussed at the end of this paper.
Keywords :
learning (artificial intelligence); ontologies (artificial intelligence); protocols; relational databases; supply chain management; automatic learning; concept model; enterprise database; enterprise knowledge expression; form shared concept protocol; general conception framework; knowledge sharing; mapping rule; ontology; relational database schema; supply chain; Robots; Ontology; Ontology construction; Ontology learning; Relational schema;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219258
Filename :
6219258
Link To Document :
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