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 features a number of the papers awarded in the course of the First foreign 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, rigorously reviewed and chosen from the workshop displays. those are crowned off with four invited lectures and an introductory and motivational overview.

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

The workshop in query excited by improving the elemental figuring out of the way to version continuous studying from earlier stories and the way to seize wisdom from transitions among approach states.

Active conceptual modeling is a continuous technique of describing all features of a site, its actions, and alterations from varied views in line with our wisdom and understanding.

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Extra resources for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development

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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.

ACM Transactions on Database Systems 3(17) (1992) 4. : Design and evaluation of a wide-area event notification service. ACM-TOCS 19(3) (2001) 5. : Modeling exceptional behavior in commercial workflow management systems. In: 4th Intl. Conf. on Cooperative Information Systems (CoopIS) (1999) 6. : Streaming queries over streaming data. In: VLDB Conference (2002) Adaptive and Context-Aware Reconciliation 45 7. : Niagaracq: A scalable continuous query system for internet databases. In: ACM SIGMOD Conference (2000) 8.

C Springer-Verlag Berlin Heidelberg 2007 Adaptive and Context-Aware Reconciliation 31 matched against the current status of continuously evolving data sources, and appropriate notifications are sent to the user. Similarly, the main focus of Continuous Queries (CQ) processing [7,17] is on efficient management of user queries over time, without forcing the users to re-issue their queries. The data values may arrive as streams which the system has to process on the fly [6,19] and, furthermore, the data may be multidimensional in nature, as is the case in Location-Based Services (LBS) [21] and Moving Objects Databases (MOD) [14].

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