Bøger i Advanced Information and Knowledge Processing serien

Ontological Engineering refers to the set of activities that concern the ontology development process, the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them.

In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field.

Web-based Support Systems (WSS) are an emerging multidisciplinary research area in which one studies the support of human activities with the Web as the common platform,mediumandinterface.TheInternetaffectseveryaspectofourmodernlife.

In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.

This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining.

The purpose of this book is to review the recent advances in E-health technologies and applications.

Details research in areas such as ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies. This title provides decision support on the use of novel technologies, information about potential problems, and guidelines for the application of existing technologies.

Here is an interdisciplinary study of ontology engineering and its application in urban development projects, which includes case studies of the development of ontologies for urban mobility, urban morphological processes, road systems, and cultural heritage.

In many recent application situations, however, the size of the input data is too large to fit within memory.Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications.

Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities.

Comprised of the main results from the IST CrossWork project, this book presents key innovations in the use of advanced information technology to support dynamic organizations in modern day industrial supply chains and business service networks.

Enhances the use of enterprise models as an effective communication medium between business and technical personnel. Details the blue-print of the to-be developed business system.

Covers the transmission of real-time video and audio for internet experimentation. Provides detailed descriptions of how the various hardware and software systems can be seamlessly integrated for a complete internet remote experimentation system. Contains examples of real working experiments that are currently running.

Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO.

The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society.On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges.With contributions by authors from a wide range of backgrounds, Understanding Information: From the Big Bang to Big Data will appeal to readers interested in the impact of ¿information¿ on modern-day life from a variety of perspectives.

Multi-database mining has been recognized as a strategically essential area of research in data mining. This book discusses various issues regarding the systematic and efficient development of multi-database mining applications.

II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations.

Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.

New healthcare technologies are enabling people to remain at home longer and for lower costs. This book reveals how these technologies can be designed in conjunction with users and health care practitioners. It also explores new methods and technologies.

Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis.

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors' recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

This book provides introductions for both interval and fuzzy computing in a very accessible style. Application algorithms covered in this book include quantitative and qualitative data mining with interval valued datasets, decision making systems with interval valued parameters, interval valued Nash games and interval weighted graphs.

Robot intelligence has become a major focus of intelligent robotics.

New healthcare technologies are enabling people to remain at home longer and for lower costs. This book reveals how these technologies can be designed in conjunction with users and health care practitioners. It also explores new methods and technologies.

Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO.

Agent systems are being used to model complex systems like societies, markets and biological systems. This book sheds light upon the complex interrelation between interactivity/exchange and convergence in multi-agent systems, for the first time.