Dynamic Context-Aware System Based on Multi-Level Material Data Control Model

Article Preview

Abstract:

Context-aware applications can sense and explore the context of production processes to provide proper and useful services to managers in workshop. Firstly, a multi-level ontology model of materials is found which is expressed in OWL as an ontology collection of describing places ages and events and associated properties among them. Secondly, a multi-level context-aware control model and its mechanism are produced. In this model, data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information. And context is classified based on the analysis of demand into five main categories, which is further categorized as simple condition and composite condition to form a multi-level context. And the data integration model is implemented dynamically by checking the context constraint associated with each application task at the time of the specific request submission. Finally, a case study is developed within a manufacturing enterprise to show the benefits of the model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2216-2219

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] F. Qiu, H. Wang, J. Li. Research And Development On Management Information System Of The Multiple-Sort & Small-Batch Materials In Lean Production, Journal of Wuhan University of Technology, vol. 28(2008), p.117.

Google Scholar

[2] G. Neto, A. Gomes, J. Castro and S. Sampaio, Integrating Activity Theory And Organizational Modeling For Context Of Use Analysis, Proceedings of the 2005 Latin American conference on Human-computer interaction, CLIHC 2005, p.301.

DOI: 10.1145/1111360.1111392

Google Scholar

[3] H. Lin, Y. Fan, C. Wu. Research Of Integrated Planning And Scheduling Based On Hierarchy Scheduling Model, Computer Integrated Manufacturing Systems, vol. 8(2009), p.602.

Google Scholar

[4] W. vanderAalst, Business Alignment. Using Process Mining As A Tool For Delta Analysis, Journal of Requirements Engineering, vol. 10(2008), p.198.

Google Scholar

[5] MARK T,ELMORE. Dynamic Data Fusion Using An Ontology-Based Software Agent System. Proceedings of the World Multi conference on Systemics. Cybernetics and Informatics, 2003, p.6.

Google Scholar