TY - CHAP
T1 - A meta-level knowledge base system for discovering personal career opportunities by connecting and analyzing occupational and educational databases
AU - Takahashi, Yusuke
AU - Kiyoki, Yasushi
PY - 2009/1/1
Y1 - 2009/1/1
N2 - This paper presents an implementation method of a meta-level knowledge base system for analyzing personal career opportunities by connecting occupational and educational databases. We have designed and implemented several functions to analyze information on personal career development, on the meta-level database system for connecting occupational and educational databases. This method is used to create dynamic relationships among heterogeneous databases on occupations, educational contents, social and educational issues and personal career information. In this method, several functions are defined for analyzing relationships among heterogeneous databases. (1) Educational contents represent, for instance, lectures in educational institutes, (2) occupations represent descriptions of concrete occupations, (3) social and educational issues represent academic industrial fields, and (4) personal career information represents histories, objectives and interests of an individual user's career. These databases are connected and analyzed in a dynamic way, according to users' contexts and situations. By using our method, individual career development becomes to be effectively supported when discovering personal career opportunities and designing personalized career development plans.
AB - This paper presents an implementation method of a meta-level knowledge base system for analyzing personal career opportunities by connecting occupational and educational databases. We have designed and implemented several functions to analyze information on personal career development, on the meta-level database system for connecting occupational and educational databases. This method is used to create dynamic relationships among heterogeneous databases on occupations, educational contents, social and educational issues and personal career information. In this method, several functions are defined for analyzing relationships among heterogeneous databases. (1) Educational contents represent, for instance, lectures in educational institutes, (2) occupations represent descriptions of concrete occupations, (3) social and educational issues represent academic industrial fields, and (4) personal career information represents histories, objectives and interests of an individual user's career. These databases are connected and analyzed in a dynamic way, according to users' contexts and situations. By using our method, individual career development becomes to be effectively supported when discovering personal career opportunities and designing personalized career development plans.
UR - http://www.scopus.com/inward/record.url?scp=72749109850&partnerID=8YFLogxK
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U2 - 10.3233/978-1-58603-957-8-270
DO - 10.3233/978-1-58603-957-8-270
M3 - Chapter
AN - SCOPUS:72749109850
SN - 9781586039578
T3 - Frontiers in Artificial Intelligence and Applications
SP - 270
EP - 289
BT - Information Modelling and Knowledge Bases XX
PB - IOS Press
ER -