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

By Peter P. Chen, Leah Y. Wong

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

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

Taken as a complete, those papers disguise nearly the entire present pondering in conceptual modeling research.

The workshop in query fascinated about improving the basic knowing of the way to version continuous studying from prior reports and the way to seize wisdom from transitions among process states.

Active conceptual modeling is a continuing strategy of describing all points of a website, its actions, and adjustments from various views in accordance with our wisdom and understanding.

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Example text

Action selection functions will be used to determine which actions’ sequence will be selected for execution when several active rules in D are ready to be executed, based on the relative priority of the rules. Although we do not consider any explicit “transactional awareness” which is part of the semantic dimensions of the triggers in traditional active database systems [11], we do assume (implicitly) the existence of rules’ processing point in every legal sequence of actions. e. the rules in Ω will have to wait until a new processing point is encountered).

In this paper, we present our results regarding the paradigm for specifying the evolving reactive behavior that has pro-active consequences [27] and we describe our vision about the tools that would enable hypothetical reasoning and active learning about the behavior of the systems which implement such functionality. At the heart of our motivation are the following observations: 1. ”. This reflects the fact that when many domain experts are involved in the specification stage, there is a need for tools that provide as much flexibility for expressing the domain knowledge as possible.

Observe that there are bindings between the new event to the original event – the new one needs to focus on the distance pertaining to the particular object that satisfied the original enabling event. 1 The (ECA)2 Paradigm Now we explain the main aspects of the syntax for specifying triggers under the (ECA)2 paradigm, and the general form is illustrated in Figure 1. Firstly, observe that in the events, conditions and actions we allow variables to be used. For example, Ep (EVp ) denotes that the event of the parent-trigger Ep has the (vector of) variable(s) EVp in its specification; similarly, Cp1 (V Cp 1) denotes the query and the variables used in the first condition of the parent trigger.

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