Title :
Ontology based conceptual model compatible with relational data model for evidence based evaluation
Author :
Sugiyama, Yoshinori ; Seta, Kazuhisa ; Hirata, Kenji ; Ikeda, Mitsuru
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
Abstract :
Putting the right person in the right post and planning human resource development (human resource management: HRM) are important decision making tasks for managing company. The basis for HRM is the accurate grasp of the competency of human resources as intellectual capital. Our research goal is to realize human resource evaluations based on evidences by Embedded Technology Skill Standards ontology as indicators. This paper clarifies perception structure of our ontology based human resource model for conversion to relational data model and describes implement method of the system that can cooperatively works with other legacy database systems with no modification.
Keywords :
human resource management; industrial property; knowledge management; ontologies (artificial intelligence); production engineering computing; relational databases; embedded technology skill standards; evidence based evaluation; human resource development; human resource management; intellectual capital; ontology based conceptual model; relational data model; Data models; Database systems; Decision making; Dispersion; History; Human resource management; Knowledge management; Ontologies; Technology management; Technology planning;
Conference_Titel :
Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
Conference_Location :
Osaka
Print_ISBN :
978-1-4244-7298-7
DOI :
10.1109/INDIN.2010.5549709