By Peter P. Chen, Leah Y. Wong
This quantity is a set of papers provided in the course of the first overseas ACM-L Workshop, which was once held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006. incorporated during this cutting-edge survey are eleven revised complete papers, conscientiously reviewed and chosen from the workshop displays. those are rounded off with 4 invited lectures and an introductory review, and characterize the present considering in conceptual modeling research.
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Extra info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development (Lecture Notes in Computer Science)
P: ACTION → PRECONDITIONS is a function that maps an action to its preconditions; M: ACTION → METHODS maps an action to its methods; I: ACTION → INPUTS maps an action to its inputs; O: ACTION → OUTPUTS maps an action to its outputs; and S: ACTION → SOURCES associates an action with the sources. Following , we classify actions into primitive and complex (see Fig. 5). Accordingly, we specify that ACTION consists of two subsets PRIMITIVE_ACTION and COMPLEX_ACTION. An action is considered to be primitive if no decomposition will reveal any further information which is of interest.
After detecting its enabling event, Rq1 requires that the system “spans” its attention to monitoring one more event (closer than 3 miles to R) and, upon its detection, request an evaluation of another remote condition-query, which happens to be instantaneous. 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.
8). A s s u m p tio n S R e a s o n S H y p o th e s is B e lie f G o a l Is [0 :m ] [0 :m ] re d u c e d to Fig. 8. Semantics of “Why” 3 Active Conceptual Modeling with Provenance Annotations As discussed in , a serious problem in today’s data modeling practices is that database design approaches have viewed data models as representing only a snapshot of the world and recommend ignoring variations of information as well as the causes and other details of those variations during data modeling.
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