Modeling and retrieval of context : second international workshop, MRC 2005, Edinburgh, UK, July 31-August 1, 2005 : revised selected papers / Thomas R. Roth-Berghofer, Stefan Schulz, David B. Leake (eds.).

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(2nd : International Workshop on Modeling and Retrieval of Context (2nd : 2005 : Edinburgh, Scotland)

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Material type: Text

TextSeries: Lecture notes in computer science ; 3946. | Lecture notes in computer science. Lecture notes in artificial intelligence.Publication details: Berlin ; New York : Springer, ©2006.Description: 1 online resource (vii, 147 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540335887
3540335889
3540335870
9783540335870

Other title:

MRC 2005

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Additional physical formats: Print version:: Modeling and retrieval of context.DDC classification:

005.1 22

LOC classification:

QA76.758 .I5785 2005eb

Other classification:

TP311. 5-532

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Click here to access online

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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digitized 2010 HathiTrust Digital Library committed to preserve

Summary: Computing in context has become a necessity in modern and intelligent IT - plications. With the use of mobile devices and current research on ubiquitous computing, context-awareness has become a major issue. However, context and context-awareness are crucial not only for mobile and ubiquitous computing. They are also vital for spanning various application areas, such as collaborative softwareand Web engineering, personaldigital assistantsand peer-to-peer inf- mation sharing, health care work?ow and patient control, and adaptive games and e-learning solutions. In these areas, context serves as a major source for reasoning, decision making, and adaptation, as it covers not only application knowledge but also environmental knowledge. Likewise, modeling and retrieving context is an important part of modern knowledge management processes. In addition, context can play a role in determining what information a s- tem should provide. This is important for supporting the users of automated or intelligent systems, for tasks such as explaining how solutions are found, what the system is doing, and why it operates in a certain way. The methods applied and the advice given have to be explained, so that the user can understand the process and agree on decisions. Context is equally important for deciding when to provide uncertain or blurred information, e.g., when using a tracking system in situations for which either revealing the current position, or denying access to it, would have adverse e?ects. In this wide range of applications, context is now more than just location.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
eBook	e-Library	eBook LNCS		Available

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"Nine papers from the Second International Workshop on Modeling and Retrieval of Context, MRC 2005, held at the 19th International Joint Conference on Artificial Intelligence"--Preface

Includes bibliographical references and index.

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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

Computing in context has become a necessity in modern and intelligent IT - plications. With the use of mobile devices and current research on ubiquitous computing, context-awareness has become a major issue. However, context and context-awareness are crucial not only for mobile and ubiquitous computing. They are also vital for spanning various application areas, such as collaborative softwareand Web engineering, personaldigital assistantsand peer-to-peer inf- mation sharing, health care work?ow and patient control, and adaptive games and e-learning solutions. In these areas, context serves as a major source for reasoning, decision making, and adaptation, as it covers not only application knowledge but also environmental knowledge. Likewise, modeling and retrieving context is an important part of modern knowledge management processes. In addition, context can play a role in determining what information a s- tem should provide. This is important for supporting the users of automated or intelligent systems, for tasks such as explaining how solutions are found, what the system is doing, and why it operates in a certain way. The methods applied and the advice given have to be explained, so that the user can understand the process and agree on decisions. Context is equally important for deciding when to provide uncertain or blurred information, e.g., when using a tracking system in situations for which either revealing the current position, or denying access to it, would have adverse e?ects. In this wide range of applications, context is now more than just location.