Active Conceptual Modeling of Learning Next Generation Learning-Base System Development / [electronic resource] :
edited by Peter P. Chen, Leah Y. Wong.
- 1st ed. 2007.
- VIII, 227 p. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 4512 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 4512 .
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).
9783540775034
10.1007/978-3-540-77503-4 doi
Artificial intelligence.
Data mining.
Application software.
Machine theory.
Computer science.
Software engineering.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Formal Languages and Automata Theory.
Models of Computation.
Software Engineering.
Q334-342 TA347.A78
006.3
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).
9783540775034
10.1007/978-3-540-77503-4 doi
Artificial intelligence.
Data mining.
Application software.
Machine theory.
Computer science.
Software engineering.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Formal Languages and Automata Theory.
Models of Computation.
Software Engineering.
Q334-342 TA347.A78
006.3