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A suitable context model is not enough; proactive user interface adaptation is necessary to offer personalized information to the user.
The semantic representation of the task context model is based on the Resource Description Framework (RDF) [12].
In our approach, the context model is specifically used to reason on how a certain objective can be achieved through fragment execution, rather than for process modeling purposes.
The task context model is built based on ontology as a semantic representation of the associations between task and task-related e-mail processes.
In the second step of CABAC [10], a context model is chosen, and a model probability distribution is assigned to the given symbols.
If the context model is well structured, it enables analysis and reasoning over policy behaviours, useful for determining operational semantics, potential policy (or contextual) errors or omissions which one can imagine would be most useful for health services.
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The Excellence in Organizational Context model was tested within the AER, using empirical data gathered through in-depth semi-structured interviews and a self-report questionnaire survey conducted with individuals from various identified organizational stakeholder groups.
The context model was the same as which used in EZBC algorithm, the algorithm data in reference [8] were quoted here.
When the task owner registers the task for group work in the client, RDF/XML formatted data based on the task context model are automatically generated and managed by the task context server.
The validation of the context model was conducted by the same two researchers who were involved in the model creation.
After univariable analyses, a "treatment context model" was fitted by adjusting for treatment context factors with p < 0.1 in univariable analyses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com