Information Object Identification System Modeling and Visual Coding Rule Design

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Abstract:

Based on the description of an information object identification system and aggregate analysis of linear & faceted classification methods, an identification hierarchical construction method and a collection object enumeration method are put forward to model the information object identification system. Its system architecture is constructed and identifying nodes and managing nodes are used to define and associate information objects. According to coding theories, the information identification system is mapped into a visual coding rule system on the condition that the information object architecture, code collection and serialization, and coding constraints are retained. According to a dynamic coding rule tree, rule templates, and code generation methods, the corresponding visual interface is developed. Finally, the XML format is used to design a powerful, extensible and flexible data structure to realize the visual coding rule system.

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Periodical:

Advanced Materials Research (Volumes 562-564)

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2120-2123

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Online since:

August 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiao Xiujian, Wang Jiashun, Wang Tianmiao, Tang Rongxi. Information Encoding and the Object-oriented Information Code Model. Microcomputer Information, 2003, 06: 79-80.

Google Scholar

[2] Yang Binhong, Wang Junbiao, Jiang Jianjun, Guo Lifeng, Wang Bailing. Planning and Realization of the Enterprise Information Codes System Oriented to Unified Data Sourse. Machine Tool & Hydraulics, 2007, 10: 13-16.

Google Scholar

[3] Wang Junbiao, Wang Bailing, Jiang Jianjun, Guo Lifeng. Application Research of Ontological Information Coding Technology In Information Integration. Mechanical Science and Technology for Aerospace Engineering, 2008, 11: 1261-1265.

Google Scholar