Introduction to Contextual Processing: Theory and Applications (Hardcover)

The Case for Contextually Driven Computation
Three Mile Island Nuclear Disaster
Indian Ocean Tsunami Disaster
Contextual Information Processing (CIP) of Disaster Data
Contextual Information Processing and Information Assurance (CIPIA) of Disaster Data
Components of Traditional IT Architectures
Example of Traditional IT Architectures and Their Limitations
Contextual Processing and the Semantic Web
Contextual Processing and Cloud Computing
Contextual Processing and Universal Core
The Case for Contextual Processing and Summary

Defining the Transformation of Data to Contextual Knowledge
Introduction and Knowledge Derivation from the Snow of Data
The Importance of Knowledge in Manmade Disasters
Context Models and Their Application
Defining Contextual Processing
The Properties of Contextual Data
Characteristics of Data
Semantics and Syntactical Processing Models for Contextual Processing
Storage Models That Preserve Spatial/Temporal Relationships among Contexts
Deriving Knowledge from Collected and Stored Contextual Information
Similarities among Data Objects
Reasoning Methods for Similarity Analysis of Contexts
Other Types of Reasoning in Contexts
Context Quality
Research Directions for Global Contextual Processing

A Calculus for Reasoning about Contextual Information
Context Representation
Modus Ponens
Fuzzy Set and Operations
Contextual Information and Non-Monotonic Logic
Situation Calculus
Recommended Framework
Example
Conclusion

Information Mining for Contextual Data Sensing and Fusion
Data Mining Overview
Distributed Data Mining (DDM)
Context-Based Sensing, Data Mining, and Its Applications
Example?The Coastal Restoration Data Grid and Katrina
Power of Information Mining in Contextual Computing
Enabling Large Scale Data Analysis
Example?Accessing Real-Time Information: Sensor Grids
Research Directions for Fusion and Data Mining in Contextual Processing

Hyper Distribution of Contextual Information?The Consumer Producer Problem
Introduction to Data Dissemination and Discovery
Defining Hyper Distribution
Issues in Hyper Distribution
Methods Infrastructure, Algorithms, and Agents
Modeling Tools
Advanced Topics
Example?Contextual Hyper Distribution
Research Directions in Hyper Distribution of Contexts

Set-Based Data Management Models for Contextual Data and Ambiguity in Selection
Introduction to Data Management
Background on Contextual Data Management
Context Oriented Data Set Management
Contextual Set Spatial Ambiguity in Retrieval
A Set Model-Based Entity-Relationship Diagram (ERD)
A Fuzzy ERD Model for Contextual Data Management
Contextual Subsets
Fuzzy Relation Similar FnS()
Fuzzy Directionality
Discretenizing Function C_temporal ()
Fuzzy Relation C_Spatial ()
Extended Data Model for the Storage of Context Data Sets
Example?Set-Based Modeling and Contextual Data Management
Research Directions in Contextual-Based Set Model Data Management

Security Modeling for Contextual Data Cosmology and Brane Surfaces
General Security
Challenges and Issues in Development of Contextual Security
An N Dimensional Surface Model That Can Be Applied to Contextual Security
Textual Example?Pretty Good Security and Branes
Practical Example?Pretty Good Security and Branes
Research Directions in Pretty Good Security

References appear at the end of each chapter.