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Life after New Media
An argument for a shift in understanding new media—from a fascination with devices to an examination of the complex processes of mediation. In Life after New Media, Sarah Kember and Joanna Zylinska make a case for a significant shift in our understanding of new media. They argue that we should move beyond our fascination with objects—computers, smart phones, iPods, Kindles—to an examination of the interlocking technical, social, and biological processes of mediation. Doing so, they say, reveals that life itself can be understood as mediated—subject to the same processes of reproduction, transformation, flattening, and patenting undergone by other media forms. By Kember and Zylinska's...
Semantic Web Engineering in the Knowledge Society
"This book lays the foundations for understanding the concepts and technologies behind the Semantic Web"--Provided by publisher.
The Semantic Web - ISWC 2004
This book constitutes the refereed proceedings of the Third International Semantic Web Conference, ISWC 2004, held in Hiroshima, Japan in November 2004. The 55 revised full papers presented together with abstracts of 2 invited talks were carefully reviewed and selected from a total of 227 submitted papers. The papers are organized in topical sections on data semantics, p2p systems, semantic Web mining, tools and methodologies for Web agents, user interfaces and visualization, large scale knowledge management, semantic Web services, inference, searching and querying, semantic Web middleware, integration and interoperability, ontologies, and industrial track.
Applications of Computer Aided Time Series Modeling
This book consists of three parts: Part One is composed of two introductory chapters. The first chapter provides an instrumental varible interpretation of the state space time series algorithm originally proposed by Aoki (1983), and gives an introductory account for incorporating exogenous signals in state space models. The second chapter, by Havenner, gives practical guidance in apply ing this algorithm by one of the most experienced practitioners of the method. Havenner begins by summarizing six reasons state space methods are advanta geous, and then walks the reader through construction and evaluation of a state space model for four monthly macroeconomic series: industrial production in d...
Web Technologies: Concepts, Methodologies, Tools, and Applications
With the technological advancement of mobile devices, social networking, and electronic services, Web technologies continues to play an ever-growing part of the global way of life, incorporated into cultural, economical, and organizational levels. Web Technologies: Concepts, Methodologies, Tools, and Applications (4 Volume) provides a comprehensive depiction of current and future trends in support of the evolution of Web information systems, Web applications, and the Internet. Through coverage of the latest models, concepts, and architectures, this multiple-volume reference supplies audiences with an authoritative source of information and direction for the further development of the Internet and Web-based phenomena.
Algorithms and Data Structures
The refereed proceedings of the 8th International Workshop on Algorithms and Data Structures, WADS 2003, held in Ottawa, Ontario, Canada, in July/August 2003. The 40 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 126 submissions. A broad variety of current aspects in algorithmics and data structures is addressed.
Search Methodologies
The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the m...
Smart Delivery Systems
Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.
Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems
Distributed and multi-agent systems are becoming more and more the focus of attention in artificial intelligence research and have already found their way into many practical applications. An important prerequisite for their success is an ability to flexibly adapt their behavior via intelligent cooperation. Successful reasoning about and within a multiagent system is therefore paramount to achieve intelligent behavior. Distributed Constraint Satisfaction Problems (DCSPs) and Distributed Constraint Optimization (minimization) Problems (DCOPs) are perhaps ubiquitous in distributed systems in dynamic environments. Many important problems in distributed environments and systems, such as action c...
Mining User Generated Content
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed to tackle the huge amount of real-time, multimedia, and multilingual data. Researchers must also know how to assess the social aspects of UGC, such as user relations and influential users. Mining User Generated Content is the first focused effort to compile state-of-the-art research and address future directions of UGC. It explains how to collect, index, and analyze UGC to uncover social trends and...
