DocumentCode :
3397935
Title :
Introducing multiple knowledge to workflow modeling
Author :
Wang Nan ; Sun Shanwu
Author_Institution :
Dept. of Manage. Sci. & Inf. Eng., Jilin Univ. of Finance & Econ., Changchun, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
2160
Lastpage :
2163
Abstract :
Constructing the abstraction model of physical world is an important step of model-based reasoning. This paper applies multi-knowledge to the general abstraction theory of physical world and uses the general framework representing abstraction to propose the multi-workflow modeling process, including workflow behavior model, workflow function model and workflow teleology model. The ontology linkages between proposed three models are built up and the multi-workflow model framework is characterized from three levels: model transforming level, model objects sharing level and multi-knowledge mapping level. The present multi-workflow model truly enriches the model basis for model-based reasoning.
Keywords :
inference mechanisms; ontologies (artificial intelligence); workflow management software; general abstraction theory; model objects sharing level; model transforming level; model-based reasoning; multiknowledge mapping level; ontology linkage; workflow behavior model; workflow function model; workflow modeling; workflow teleology model; Couplings; Data models; Databases; Education; Inference mechanisms; Ontologies; abstraction theory multi-knowledge; model-based reasoning; modeling; multi-workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025919
Filename :
6025919
Link To Document :
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