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Context in Computing : A Cross-Disciplinary Approach for Modeling the Real World / edited by Patrick Brézillon, Avelino J. Gonzalez.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Brezillon, Patrick, editor.
González, Avelino J., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Language:
English
Subjects (All):
Artificial intelligence.
User interfaces (Computer systems).
Computer simulation.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Simulation and Modeling.
Local Subjects:
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Simulation and Modeling.
Physical Description:
1 online resource (XVIII, 573 pages) : 147 illustrations
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
New York, NY : Springer New York : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
This volume explores how context has been and can be used in computing to model human behaviors, actions and communications as well as to manage data and knowledge. It addresses context management and exploitation of context for sharing experience across domains. The book serves as a user-centric guide for readers wishing to develop context-based applications, as well as an intellectual reference on the concept of context. It provides a broad yet deep treatment of context in computing and related areas that depend heavily on computing. The coverage is broad because of its cross-disciplinary nature but treats topics at a sufficient depth to permit a reader to implement context in his/her computational endeavors. The volume addresses how context can be integrated in software and systems and how it can be used in a computing environment. Furthermore, the use of context to represent the human dimension, individually as well as collectively is explained. Contributions also include descriptions of how context has been represented in formal as well as non-formal, structured approaches. The last section describes several human behavior representation paradigms based on the concept of context as its central representational element. The depth and breadth of this content is certain to provide useful as well as intellectually enriching information to readers of diverse backgrounds who have an interest in or are intrigued by using context to assist in their representation of the real world.
Contents:
Introduction
The CSS design process: on supporting context-sensitive systems development
Context-driven testing on the cloud
Context-based search, recommendation and browsing in software development
Context aware and adaptive systems
Context-aware middleware: A review
Context-centered tools for Intelligent Assistant Systems
Context and machine learning
A Bayesian Framework for Life-Long Learning in Context-Aware Mobile Applications
Context and NLP
The QoCIM framework concepts and tools for quality of context management
Contextualized scientific workflows in the cloud
Context-sensitive trust evaluation in cooperating smart spaces
The Cognitive Science basis for context
User-centered Approaches to Context Awareness: Prospects and challenges
Event quality awareness for contextualized decision support in e-health applications
Computing the context effect for science learning
Contextual cognition in social simulation
SocioPlatform: A Platform for Social Context-Aware Applications
Context and User-Centered Approaches: Icons in Cross-Cultural Context
Context and Collaborative Work: A context-sensitive intervention approach for collaboration in dynamic environment
The role of context and its elements in Situational Assessment
Context and community Awareness in Support of user Intent Prediction
Multi-context logics-a general introduction
Constraint programming for context comprehension
Context and Implicature
Formalizing Context for Domain Ontologies in Coq
Context and granularity
Context and Case-based Reasoning
Tactical reasoning through context-based reasoning
Experience-based Reasoning by Contextual Graphs
Representing Experience-based reasoning by Contextual Graphs
Context-awareness in Multi-Agent Systems for Ambient Intelligence
Contextual reasoning in an intelligent Electronic Patient Leaflet System.
Other Format:
Printed edition:
ISBN:
978-1-4939-1887-4
9781493918874
Access Restriction:
Restricted for use by site license.

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