Introduction to Contextual Processing: Theory and Applications
Autor Gregory Vert, S. Sitharama Iyengar, Vir V. Phohaen Limba Engleză Hardback – 8 dec 2010
A new perspective on global information systems operation
Helping to advance a valuable paradigm shift in the next generation and processing of knowledge, Introduction to Contextual Processing: Theory and Applications provides a comprehensive model for constructing a contextually based processing system. It explores the components of this system, the interactions of the components, key mathematical foundations behind the model, and new concepts necessary for operating the system.
After defining the key dimensions of a model for contextual processing, the book discusses how data is used to develop a semantic model for contexts as well as language-driven context-specific processing actions. It then applies rigorous mathematical methods to contexts, examines basic sensor data fusion theory and applies it to the contextual fusion of information, and describes the means to distribute contextual information. The authors also illustrate a new type of data repository model to manage contextual data, before concluding with the requirements of contextual security in a global environment.
This seminal work presents an integrated framework for the design and operation of the next generation of IT processing. It guides the way for developing advanced IT systems and offers new models and concepts that can support advanced semantic web and cloud computing capabilities at a global scale.
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Specificații
ISBN-13: 9781439834688
ISBN-10: 1439834687
Pagini: 286
Ilustrații: 82 b/w images, 9 tables and 100
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:United States
ISBN-10: 1439834687
Pagini: 286
Ilustrații: 82 b/w images, 9 tables and 100
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:United States
Public țintă
Researchers and graduate students in pervasive and ubiquitous computing, human-computer interaction, and computer security; computer engineers, government labs, and military engineers.Cuprins
The Case for Contextually Driven Computation. Defining the Transformation of Data to Contextual Knowledge. A Calculus for Reasoning about Contextual Information. Information Mining for Contextual Data Sensing and Fusion. Hyper Distribution of Contextual Information—The Consumer Producer Problem. Set-Based Data Management Models for Contextual Data and Ambiguity in Selection. Security Modeling for Contextual Data Cosmology and Brane Surfaces.
Notă biografică
Gregory L. Vert is an assistant professor of computer science at Texas A&M University–Central Texas in Killeen. Dr. Vert has worked in industry for companies that include IBM, American Express, and Boeing. While at American Express, he co-designed a portion of their worldwide database system. His current research deals with advanced methods for intrusion detection and autonomous system response, advanced data management models, biometrics and bioinformatics, and contextual processing.
Sundaraja Sitharama Iyengar is the Roy Paul Daniels Distinguished Professor and chairman of the Department of Computer Science as well as founder and director of the Robotics Research Laboratory at Louisiana State University in Baton Rouge. Dr. Iyengar is the founding editor-in-chief of the International Journal of Distributed Sensor Networks, has been an associate editor of IEEE Transaction on Computers and IEEE Transactions on Data and Knowledge Engineering, and has been a guest editor of IEEE Computer Magazine. He is a member of the European Academy of Sciences and a fellow of the IEEE, ACM, AAAS, and SDPS. He has received the Distinguished Alumnus Award of the Indian Institute of Science and the IEEE Computer Society’s Technical Achievement Award.
Vir V. Phoha is a professor of computer science, W.W. Chew Endowed Professor, and director of the Center for Secure Cyberspace at Louisiana Tech University in Ruston. An ACM Distinguished Scientist, Dr. Phoha has received funding from the NSF, Army Research Office, Office of Naval Research, Air Force Office of Scientific Research, Air Force Research Lab, and the State of Louisiana to support his research.
Drs. Vert, Iyengar, and Phoha are all members of the Center for Secure Cyberspace located at Louisiana Tech University.
Sundaraja Sitharama Iyengar is the Roy Paul Daniels Distinguished Professor and chairman of the Department of Computer Science as well as founder and director of the Robotics Research Laboratory at Louisiana State University in Baton Rouge. Dr. Iyengar is the founding editor-in-chief of the International Journal of Distributed Sensor Networks, has been an associate editor of IEEE Transaction on Computers and IEEE Transactions on Data and Knowledge Engineering, and has been a guest editor of IEEE Computer Magazine. He is a member of the European Academy of Sciences and a fellow of the IEEE, ACM, AAAS, and SDPS. He has received the Distinguished Alumnus Award of the Indian Institute of Science and the IEEE Computer Society’s Technical Achievement Award.
Vir V. Phoha is a professor of computer science, W.W. Chew Endowed Professor, and director of the Center for Secure Cyberspace at Louisiana Tech University in Ruston. An ACM Distinguished Scientist, Dr. Phoha has received funding from the NSF, Army Research Office, Office of Naval Research, Air Force Office of Scientific Research, Air Force Research Lab, and the State of Louisiana to support his research.
Drs. Vert, Iyengar, and Phoha are all members of the Center for Secure Cyberspace located at Louisiana Tech University.
Descriere
Helping to advance a valuable paradigm shift in the next generation and processing of knowledge, this seminal work provides a comprehensive model for constructing a contextually based processing system that can support advanced semantic web and cloud computing capabilities at a global scale. It explores the components of the system, the interactions of the components, key mathematical foundations behind the model, and new concepts necessary for operating the system. The book also describes numerous cutting-edge applications and research directions for contextual processing and offers novel methods for addressing the producer-consumer problem.