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Titlebook: Quality of Context; First International Kurt Rothermel,Dieter Fritsch,Frank Dürr Conference proceedings 2009 Springer-Verlag Berlin Heidel

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书目名称Quality of Context
副标题First International
编辑Kurt Rothermel,Dieter Fritsch,Frank Dürr
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Quality of Context; First International  Kurt Rothermel,Dieter Fritsch,Frank Dürr Conference proceedings 2009 Springer-Verlag Berlin Heidel
描述This book constitutes the thoroughly refereed post-conference proceedings of the first International Workshop on Quality of Context, QuaCon 2009, held in Stuttgart, Germany, in June 2009. The 11 revised papers presented were carefully reviewed and selected from 19 submissions and included in the volume together with 5 invited papers. Discussed are interdisciplinary approaches to context quality, such as models for degradation and consistency of context data, spatial ontologies and spatial data mining, trust in context data, methods and calculi for context quality assessment, frameworks and metrics for context quality, uncertainty in sensor data processing, quality-aware algorithms for context management, quality-aware event and stream processing, uncertainty in reasoning on context data, application-specific context quality and case studies, and visualization of context quality.
出版日期Conference proceedings 2009
关键词Ontologie; biometric databases; component-based software; context inference; context modeling; context re
版次1
doihttps://doi.org/10.1007/978-3-642-04559-2
isbn_softcover978-3-642-04558-5
isbn_ebook978-3-642-04559-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
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A Framework for Quality of Context Managementting Quality of Context in COSMOS (COntext entitieS coMpositiOn and Sharing) [4,13], a component-based framework for managing context data in ubiquitous environments, and illustrates it throughout the example of the composition of context information to implement a . adaptation situation.
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Conference proceedings 2009rics for context quality, uncertainty in sensor data processing, quality-aware algorithms for context management, quality-aware event and stream processing, uncertainty in reasoning on context data, application-specific context quality and case studies, and visualization of context quality.
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UDS: Sustaining Quality of Context Using Uninterruptible Data Supply Systemracteristic data deficit patterns and created a robust model for both patterns utilizing Bayesian Network. In the evaluation, we show UDS can sustain the quality of context over 80% with 40% data missing.
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Quality Dependent Reconstruction of Building Façadesn the style of the given building. In our quality dependent approach, this grammar is used as knowledge base for the verification of a façade model reconstructed at areas of limited sensor data quality. Additionally, it is applied for the generation of synthetic façades where no LiDAR measurement is available.
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Interacting with Contextd, including our own approach. Both sides of the coin are inspected: the improvement of UIs by means of quality attributed context information and, to a lesser extent, the challenge to convey context quality to the user as part of the interaction.
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