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Modeling and Using Context

Overview of attention for book
Cover of 'Modeling and Using Context'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modelling the Context of Learning Interactions in Intelligent Learning Environments
  3. Altmetric Badge
    Chapter 2 Contextual Modals
  4. Altmetric Badge
    Chapter 3 Understanding Context Before Using It
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    Chapter 4 Epistemological Contextualism: A Semantic Perspective
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    Chapter 5 Task-Realization Models in Contextual Graphs
  7. Altmetric Badge
    Chapter 6 Modeling and Using Context
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    Chapter 7 Utilizing Visual Attention for Cross-Modal Coreference Interpretation
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    Chapter 8 Meaning in Context
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    Chapter 9 Descriptive Naming of Context Data Providers
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    Chapter 10 Quotations and the Intrusion of Non-linguistic Communication into Utterances
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    Chapter 11 Mobile Phone Talk in Context
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    Chapter 12 Unsupervised Clustering of Context Data and Learning User Requirements for a Mobile Device
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    Chapter 13 Identification of Textual Contexts
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    Chapter 14 Investigation of Context Effects in Iterated Prisoner’s Dilemma Game
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    Chapter 15 Context-Aware Configuration: A Study on Improving Cell Phone Awareness
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    Chapter 16 Context-Aware Adaptation in a Mobile Tour Guide
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    Chapter 17 Contextual Factors and Adaptative Multimodal Human-Computer Interaction: Multi-level Specification of Emotion and Expressivity in Embodied Conversational Agents
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    Chapter 18 Modeling Context for Referring in Multimodal Dialogue Systems
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    Chapter 19 Exploiting Rich Context: An Incremental Approach to Context-Based Web Search
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    Chapter 20 Context Adaptive Self-configuration System Based on Multi-agent
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    Chapter 21 Effect of the Task, Visual and Semantic Context on Word Target Detection
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    Chapter 22 Ontology Facilitated Community Navigation – Who Is Interesting for What I Am Interested in?
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    Chapter 23 Contextual Information Systems
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    Chapter 24 Context Building Through Socially-Supported Belief
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    Chapter 25 A Quantitative Categorization of Phonemic Dialect Features in Context
  27. Altmetric Badge
    Chapter 26 Context-Oriented Image Retrieval
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    Chapter 27 An Approach to Data Fusion for Context Awareness
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    Chapter 28 Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA
  30. Altmetric Badge
    Chapter 29 Goal-Directed Automated Negotiation for Supporting Mobile User Coordination
  31. Altmetric Badge
    Chapter 30 In Defense of Contextual Vocabulary Acquisition
  32. Altmetric Badge
    Chapter 31 Functional Model of Criminality: Simulation Study
  33. Altmetric Badge
    Chapter 32 Minimality and Non-determinism in Multi-context Systems
  34. Altmetric Badge
    Chapter 33 ‘I’ as a Pure Indexical and Metonymy as Language Reduction
  35. Altmetric Badge
    Chapter 34 Granularity as a Parameter of Context
  36. Altmetric Badge
    Chapter 35 Identifying the Interaction Context in CSCLE
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    Chapter 36 Operational Decision Support: Context-Based Approach and Technological Framework
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    Chapter 37 Threat Assessment Technology Development
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    Chapter 38 Making Contextual Intensional Logic Nonmonotonic
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    Chapter 39 Modeling Context as Statistical Dependence
  41. Altmetric Badge
    Chapter 40 Robust Utilization of Context in Word Sense Disambiguation
  42. Altmetric Badge
    Chapter 41 Understanding Actions: Contextual Dimensions and Heuristics
  43. Altmetric Badge
    Chapter 42 Applications of a Context-Management System
Attention for Chapter 27: An Approach to Data Fusion for Context Awareness
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Mentioned by

patent
1 patent

Citations

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7 Dimensions

Readers on

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40 Mendeley
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1 CiteULike
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Chapter title
An Approach to Data Fusion for Context Awareness
Chapter number 27
Book title
Modeling and Using Context
Published in
Lecture notes in computer science, January 2005
DOI 10.1007/11508373_27
Book ISBNs
978-3-54-026924-3, 978-3-54-031890-3
Authors

Padovitz, Amir, Loke, Seng W., Zaslavsky, Arkady, Burg, Bernard, Bartolini, Claudio, Amir Padovitz, Seng W. Loke, Arkady Zaslavsky, Bernard Burg, Claudio Bartolini

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
Sweden 2 5%
Cyprus 1 3%
Austria 1 3%
United Kingdom 1 3%
Canada 1 3%
China 1 3%
Spain 1 3%
Unknown 30 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 43%
Student > Master 5 13%
Researcher 5 13%
Student > Doctoral Student 4 10%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 29 73%
Engineering 6 15%
Mathematics 1 3%
Philosophy 1 3%
Design 1 3%
Other 0 0%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2018.
All research outputs
#7,523,397
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#2,489
of 8,134 outputs
Outputs of similar age
#36,232
of 140,192 outputs
Outputs of similar age from Lecture notes in computer science
#48
of 132 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,134 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 140,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.