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

By Peter P. Chen, Leah Y. Wong

This quantity encompasses a choice of the papers provided through the First overseas ACM-L Workshop, which used to be held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006.

Included during this cutting-edge 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 an entire, those papers hide almost the entire present considering in conceptual modeling research.

The workshop in query considering improving the elemental realizing of ways to version continuous studying from earlier reports and the way to catch wisdom from transitions among procedure states.

Active conceptual modeling is a continuing technique of describing all points of a website, its actions, and adjustments from diversified views in accordance 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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The Web [13], peer-to-peer (P2P) systems and sensor networks [32]. Despite the co-existence of the large body of works in ENS, CQ, Data Streams, MOD [4,7,17,21,14], all of which have the common need of dealing with dynamically changing information, and the rich history of ADb results [11,20,30] – there is a lack of tools that would enable using the ”best of all the worlds”. Namely, there is no paradigm that allows the users to seamlessly tie: (1) Detection of (composite) events obtained by monitoring continuously changing data with (2) Evaluation of conditions that are continuous queries and with (3) Dynamical adjustment of the triggers themselves – all for the purpose of executing a desired policy in a constantly evolving domain of interest.

We further classify beliefs into assumptions and hypotheses (see Fig. 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 [18], 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.

Referencing old/new). 36 G. Trajcevski and P. Scheuermann 1. Translates the specifications of the original trigger into: → ← TR1’: ON E1 ; (EC ; EC ) 1c 1c IF C1i THEN A1 2. , in the case of Rq1 it is send to the air-base. 2 (EC 1c if the evaluation of C1c is done locally or in the remote site. This event denotes that the condition has been evaluated to true, and the notification about it, from the possibly remote site, has been received. 3. 2 A trigger that is either registered locally, or transmitted to the remote site, which essentially states: TR1c: ON E1 ; C1c → ← IF C1c valid until(¬E1 ) THEN A(Notify(EC )) 1c 4.

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