Download Active Conceptual Modeling of Learning: Next Generation by Peter P. Chen, Leah Y. Wong PDF

By Peter P. Chen, Leah Y. Wong

This quantity includes a number of the papers awarded throughout the First overseas ACM-L Workshop, which was once held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006.

Included during this state of the art survey are eleven revised complete papers, rigorously reviewed and chosen from the workshop shows. those are crowned off with four invited lectures and an introductory and motivational overview.

Taken as an entire, those papers disguise almost all the present pondering in conceptual modeling research.

The workshop in query thinking about bettering the elemental knowing of the way to version continuous studying from prior reviews and the way to seize wisdom from transitions among approach states.

Active conceptual modeling is a continuing means of describing all facets of a site, its actions, and adjustments from diversified views in keeping with our wisdom and understanding.

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Additional info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development

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We are investigating how provenance might be automatically identified and recorded. In the future, we will investigate the effectiveness of our approach by applying it to different application domains. References 1. : The Grid: Requirements for Establishing the Provenance of Derived Data. In: Workshop on Data Derivation and Provenance, Chicago, Illinois (2002) 2. : Data Provenance: Some Basic Issues. , Prasad, S. ) FST TCS 2000. LNCS, vol. 1974, Springer, Heidelberg (2000) 3. : Earth System Science Workbench: A Data Management Infrastructure for Earth Science Products.

A battery’s function is often specified as providing an electric voltage measured in volts. More frequently, a device is composed of parts or components, and its function is expressed in terms of the variables of its components. 0 GHz and memory of 256 MB. Different from the functional properties that rarely change throughout a device’s lifetime, its settings contain volatile information pertaining to the device such as current level of CPU usage and remaining power level of a computer. The settings of a device often vary among applications, and it specifies the performance of the components of a device during an event.

Pn , e1 , . . , em a exceptionally induces e if p1 , . . , pn , e1 , . . , em a exceptionally determines f if p1 , . . , pn , e1 , . . , em In the exceptional situations, the effects of the activities are determined by the exceptional propositions and the effects of the defeasible propositions are ignored. 4 Experimental Observations Based on the benefits of the ordering of triggers execution, demonstrated in [10,23], we conducted simulation-based experiments to demonstrate the benefits of the meta-triggers when processing a reactive behavior in distributed environments.

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