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.).

By: (2nd : International Workshop on Modeling and Retrieval of Context (2nd : 2005 : Edinburgh, Scotland)
Contributor(s): Roth-Berghofer, Thomas R | Schulz, Stefan, 1969- | Leake, David B | International Joint Conference on Artificial Intelligence (19th : 2005 : Edinburgh, Scotland)
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 3946.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©2006Description: 1 online resource (vii, 147 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540335887; 3540335889; 3540335870; 9783540335870Other title: MRC 2005Subject(s): Computer-aided software engineering -- Congresses | Systems engineering -- Congresses | Context (Linguistics) -- Congresses | Conception assistée par ordinateur en génie logiciel -- Congrès | Ingénierie des systèmes -- Congrès | Contexte -- Congrès | COMPUTERS -- Programming -- Open Source | COMPUTERS -- Software Development & Engineering -- Tools | COMPUTERS -- Software Development & Engineering -- General | Conception assistée par ordinateur en génie logiciel | Ingénierie des systèmes | Contexte | Computer-aided software engineering | Systems engineering | Context (Linguistics) | Informatique | Computer-aided software engineering | Context (Linguistics) | Systems engineering | computertechnieken | computer techniques | kunst | arts | sociale wetenschappen | social sciences | wiskunde | mathematics | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | logica | logic | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Modeling and retrieval of context.DDC classification: 005.1 LOC classification: QA76.758 | .I5785 2005ebOther classification: TP311. 5-532 Online resources: 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.
Action note: digitized 2010 committed to preserveSummary: 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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"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.

Print version record.

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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.

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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