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Computer Science - Artificial Intelligence | Active Conceptual Modeling of Learning - Next Generation Learning-Base System Development

Active Conceptual Modeling of Learning

Next Generation Learning-Base System Development

Chen, Peter P., Wong, Leah Y. (Eds.)

2007

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This volume contains a collection of the papers presented during the First International ACM-L Workshop, which was held in Tucson, Arizona, during the 25th International Conference on Conceptual Modeling, ER 2006.

Included in this state-of-the-art survey are 11 revised full papers, carefully reviewed and selected from the workshop presentations. These are topped off with 4 invited lectures and an introductory and motivational overview.

Taken as a whole, these papers cover virtually all of the current thinking in conceptual modeling research.

The workshop in question 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.

Content Level » Research

Keywords » active modeling - adaption - architecture - conceptual modeling - data mining - decision making - emergency - entity relationship models - knowledge discovery - learning - mobile computing - modeling - semantic web - semantics - system development

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Information Systems and Applications - Software Engineering - Theoretical Computer Science

Table of contents 

Proceedings of Active Conceptual Modeling-Learning (ACM-L) Workshop, November 8, 2006, Tucson, Arizona, USA.- Overview of Papers in 2006 Active Conceptual Modeling of Learning (ACM-L) Workshop.- Architecture for Active Conceptual Modeling of Learning.- Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling.- Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems.- A Common Core for Active Conceptual Modeling for Learning from Surprises.- Actively Evolving Conceptual Models for Mini-World and Run-Time Environment Changes.- Achievements and Problems of Conceptual Modelling.- Metaphor Modeling on the Semantic Web.- Schema Changes and Historical Information in Conceptual Models in Support of Adaptive Systems.- Using Active Modeling in Counterterrorism.- To Support Emergency Management by Using Active Modeling: A Case of Hurricane Katrina.- Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices.- Accommodating Streams to Support Active Conceptual Modeling of Learning from Surprises.- Invited Paper.- Approaches to the Active Conceptual Modelling of Learning.- Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling.- Postponing Schema Definition: Low Instance-to-Entity Ratio (LItER) Modelling.- Research Issues in Active Conceptual Modeling of Learning: Summary of Panel Discussions in Two Workshops (May 2006) and (November 2006).

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