Introduction to Contextual Processing

Theory and Applications
1. Auflage 2010
ISBN: 978-1-4398-3468-8
Verlag: Taylor & Francis Inc

Buch, Englisch, 286 Seiten, Format (B × H): 164 mm x 236 mm, Gewicht: 538 g

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.

Zielgruppe

Researchers and graduate students in pervasive and ubiquitous computing, human-computer interaction, and computer security; computer engineers, government labs, and military engineers.

Autoren/Hrsg.

Vert, Gregory

Iyengar, S. Sitharama

Phoha, Vir V.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Geisteswissenschaften Design Interface Design, Interaktionsdesign, Application Design
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion User Interface Design & Benutzerfreundlichkeit
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie

Inhaltsverzeichnis

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.

Über Autor(innen)

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.