Title :
Management elements metadata extraction method for complex product manufacturing
Author :
Ren Nan ; Zhang Xiao-feng
Author_Institution :
Sch. of Econ. & Manage., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
Abstract :
Data integration between various systems of complex product manufacturing enterprises and the resource management issues are the focus of the attention of the management sectors. To solve the problem, the ship manufacturing, for example, this paper detailed analyzing the characteristics of its data storage and description, and according to the MOF element model mechanism, using rule-based routes to extract management elements metadata that can standardize swap data and carry management elements information. We also combined static data and dynamic management needs, under the combination of subjective and objective to semantic similarity algorithm of computing the semantic similarity of two concepts, given the ideas and detailed extraction method of management elements metadata. The metadata not only effectively carried data semantic and structural information, laid a solid foundation for the integration of heterogeneous data.
Keywords :
human resource management; manufacturing industries; meta data; storage management; MOF element model mechanism; data storage; dynamic management; management elements information; management elements metadata; management sectors; product manufacturing enterprises; resource management issues; semantic similarity algorithm; static data; swap data; Analytical models; Data integration; Data mining; Data models; Manufacturing; Object oriented modeling; Semantics; MOF; complex product manufacturing; management elements metadata; semantic similarity;
Conference_Titel :
Management Science and Engineering (ICMSE), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-0473-0
DOI :
10.1109/ICMSE.2013.6586342