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Modeling and Retrieval of Context : Second International Workshop, MRC 2005, Edinburgh, UK, July 31-August 1, 2005, Revised Selected Papers / edited by Thomas R. Roth-Berghofer, Stefan Schulz, David B. Leake
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 3946)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2006. |
| 出版者 | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
| 出版年 | 2006 |
| 大きさ | XII, 152 p : online resource |
| 著者標目 | Roth-Berghofer, Thomas R editor Schulz, Stefan editor Leake, David B editor SpringerLink (Online service) |
書誌詳細を非表示
| 一般注記 | 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 HTTP:URL=https://doi.org/10.1007/11740674 |
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| 件 名 | LCSH:System theory LCSH:Control theory LCSH:Artificial intelligence LCSH:Machine theory LCSH:Social sciences -- Data processing 全ての件名で検索 LCSH:Digital humanities FREE:Systems Theory, Control FREE:Artificial Intelligence FREE:Formal Languages and Automata Theory FREE:Computer Application in Social and Behavioral Sciences FREE:Digital Humanities |
| 分 類 | LCC:Q295 LCC:QA402.3-402.37 DC23:003 |
| 書誌ID | EB00003404 |
| ISBN | 9783540335887 |
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