Active Conceptual Modeling of Learning

by Chen, Peter P.; Wong, Leah Y.

• ISBN13: 9783540775027
• ISBN10: 3540775021
• Format: Paperback
• Copyright: 2008-03-21
• Publisher: Springer-Verlag New York Inc

Summary

This volume contains a collection of the papers presented during the First International ACM-L Workshop, which was held in Tucson, Arizona, on November 8, 2006, during the 25th International Conference on Conceptual Modeling, ER 2006. The workshop focused on enhancing the fundamental understanding of how to model continual learning from past experiences and how to capture knowledge from transitions between system states.Active conceptual modeling is a continual process of describing all aspects of a domain, its activities, and changes from different perspectives based on our knowledge and understanding.Included in this state-of-the-art survey are 11 revised full papers, carefully reviewed and selected from the workshop presentations. Rounded off with 4 invited lectures and an introductory and motivational overview, these papers represent the current thinking in conceptual modeling research.

Table of Contents

Overview of Papers in 2006 Active Conceptual Modeling of Learning (ACM-L) Workshop	p. 1
Architecture for Active Conceptual Modeling of Learning	p. 7
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling	p. 17
Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems	p. 30
A Common Core for Active Conceptual Modeling for Learning from Surprises	p. 47
Actively Evolving Conceptual Models for Mini-World and Run-Time Environment Changes	p. 57
Achievements and Problems of Conceptual Modelling	p. 72
Metaphor Modeling on the Semantic Web	p. 97
Schema Changes and Historical Information in Conceptual Models in Support of Adaptive Systems	p. 112
Using Active Modeling in Counterterrorism	p. 122
To Support Emergency Management by Using Active Modeling: A Case of Hurricane Katrina	p. 132
Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices	p. 144
Accommodating Streams to Support Active Conceptual Modeling of Learning from Surprises	p. 155
Invited Paper
Approaches to the Active Conceptual Modelling of Learning	p. 168
Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling	p. 194
Postponing Schema Definition: Low Instance-to-Entity Radio (LitER) Modelling	p. 206
Research Issues in Active Conceptual Modeling of Learning: Summary of Panel Discussions in Two Workshops (May 2006) and (November 2006)	p. 217
Author Index	p. 227
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