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Mathematics - Applications | Modeling and Retrieval of Context - Second International Workshop, MRC 2005, Edinburgh, UK, July

Modeling and Retrieval of Context

Second International Workshop, MRC 2005, Edinburgh, UK, July 31-August 1, 2005, Revised Selected Papers

Roth-Berghofer, Thomas R., Schulz, Stefan, Leake, David B. (Eds.)

2006, XI, 149 p. Also available online.

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  • About this book

This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Modeling and Retrieval of Context, MRC 2005, held in Edinburgh, UK in July/August 2005, as associated event of the 19th International Joint Conference on Artificial Intelligence, IJCAI 2005.

The 9 revised full papers presented were carefully selected and include extended versions of some of the papers presented at the MRC 2005 workshop. A major goal of the workshop was to study, understand, and explore the handling of context in IT applications. The papers illustrate the state of the art of context modeling and elicitation as well as identification and application of context in different application scenarios.

Content Level » Research

Keywords » Resolution - adaptation - algorithmic learning - artificial intelligence - cognition - cognitive science - context - context extraction - context modeling - contextual information - decision making - formal reasoning - intelligence - knowledge management - semantic web

Related subjects » Applications - Artificial Intelligence - Information Systems and Applications - Theoretical Computer Science

Table of contents 

Using Activity Theory to Model Context Awareness.- A Context Model for Personal Knowledge Management Applications.- Situation Modeling and Smart Context Retrieval with Semantic Web Technology and Conflict Resolution.- An Architecture for Developing Context-Aware Systems.- Steps Towards Making Contextualized Decisions: How to Do What You Can, with What You Have, Where You Are.- A Layered Model for User Context Management with Controlled Aging and Imperfection Handling.- Designing the Context Matching Engine for Evaluating and Selecting Context Information Sources.- Identifying the Multiple Contexts of a Situation.- An Engineering Approach to Adaptation and Calibration.

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