The Knowledge Grid is an intelligent and sustainable interaction environment that consists of autonomous individuals, self-organized semantic communities, adaptive networking mechanisms, evolving semantic link networks keeping meaningful connection between individuals, flows for dynamic resource sharing, and mechanisms supporting effective resource management and providing appropriate knowledge services for learning, innovation, teamwork, problem solving, and decision making. This book presents its methodology, theory, models and applications systematically for the first time.Its second edition fulfils the ideal of the Knowledge Grid by includingmany new contents, including: (1) The insight of cyber-physical society; (2) The systematic method of semantic link network that supports uncertainty management, discovery of semantic links and semantic communities, autonomous semantic data model, and cyber-physical-socio semantic link network; (3) Semantic peer-to-peer infrastructures for efficient knowledge sharing; (4) A new centrality measure of network; and (5) The Energy-Knowledge Grid. This new edition will undoubtedly provide inspiring materials for researchers, academics, practitioners and students.

This book explores next-generation artificial intelligence based on the symbiosis between humans, machines and nature, including the rules and emerging patterns of recognition, and the integration and optimization of various flows through cyberspace, physical space and social space. It unveils a reciprocal human-machine-nature symbiotic mechanism together with relevant rules on structuring and evolving reality, and also proposes a multi-dimensional space for modelling reality and managing the methodologies for exploring reality. As such it lays the foundation for the emerging research area cyber-physical-social intelligence. Inspiring researchers and university students to explore the development of intelligence and scientific methodology, it is intended for researchers and broad readers with a basic understanding of computer science and the natural sciences. Next-generation artificial intelligence will extend machine intelligence and human intelligence to cyber-physical-social intelligence rendered by various interactions in cyberspace, physical space and social space. With the transformational development of science and society, a multi-dimensional reality is emerging and evolving, leading to the generation and development of various spaces obeying different principles. A fundamental scientific challenge is uncovering the essential mechanisms and principles that structure and evolve the reality emerging and evolving along various dimensions. Meeting this challenge requires identifying the basic relations between humans, machines and nature in order to reveal the cyber-physical-social principles.

Against the background of the Australian government’s strategic plan to promote Asian languages in schools, this book is an innovative autoethnographic inquiry into what actually occurs in the implementation of a Chinese language and culture program in an Australian context. Drawing on eight years of socio-cultural and educational fieldwork in a primary school, Chunyan Zhang examines complex, fluid and heterogeneous daily teaching practices and the ways in which ideas of China are assembled, presented and performed. She asks the following questions: What is China? Where does Taiwan fit into the China depicted in a multicultural, globalised classroom? Can Chinese communism or Chairman Mao be avoided in teaching English-speaking learners? What kind of China is brought in here while what kind of China is being silenced and othered? Through the partial connection between method assemblage and Daoist concepts, Zhang develops a water-like pedagogy in teaching. She uses the knowledge flow model to examine the imbalanced knowledge flow within teacher-student interactions. From finding China as a hybrid assemblage to proposing China as method, Zhang’s investigation makes an important contribution to the sociology of Chinese language education. This book is an essential and rich content resource for primary and secondary teacher education and research, teacher candidates and educators in Chinese as a second language education.

Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summarizes previous text summarization approaches in a multi-dimensional category space, introduces a multi-dimensional methodology for research and development, unveils the basic characteristics and principles of language use and understanding, investigates some fundamental mechanisms of summarization, studies dimensions on representations, and proposes a multi-dimensional evaluation mechanism. Investigation extends to incorporating pictures into summary and to the summarization of videos, graphs and pictures, and converges to a general summarization method. Further, some basic behaviors of summarization are studied in the complex cyber-physical-social space. Finally, a creative summarization mechanism is proposed as an effort toward the creative summarization of things, which is an open process of interactions among physical objects, data, people, and systems in cyber-physical-social space through a multi-dimensional lens of semantic computing. The author's insights can inspire research and development of many computing areas. - The first book that proposes the method for the summarization of things in cyber-physical society through a multi-dimensional lens of semantic computing. - A transformation from the traditional application-driven research paradigm into a data-driven research paradigm for creative summarization through information modeling, cognitive modeling and knowledge modeling. - A multi-dimensional methodology for studying, managing, creating and applying methods.

This book constitutes the thoroughly refereed papers of the Second International Conference on Applied Informatics, ICAI 2019, held in Madrid, Spain, in November 2019. The 37 full papers and one short paper were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on bioinformatics; data analysis; decision systems; health care information systems; IT Architectures; learning management systems; robotic autonomy; security services; socio-technical systems; software design engineering.

Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.

This book discusses challenges and solutions for the required information processing and management within the context of multi-disciplinary engineering of production systems. The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product engineering and production system engineering, and regarding the triangle of (1) product to be produced by a (2) production process executed on (3) a production system resource. With this book industrial production systems engineering researchers will get a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in future research and development activities. Engineers and managers from engineering domains will be able to get a better understanding of the benefits and limitations of applicable methods, architectures, and technologies for selected use cases. IT researchers will be enabled to identify research issues related to the development of new methods, architectures, and technologies for multi-disciplinary engineering, pushing forward the current state of the art.

This rewritten, expanded and updated 7th edition of the long-running bestseller Research Methods in Education encompasses the whole range of methods currently employed by educational research at all stages. It offers plentiful and rich practical advice, underpinned by clear theoretical foundations, research evidence and up-to-date references. Chapters new to this edition cover: Causation, critical educational research, evaluation and the politics of research, including material on cross-cultural research, mixed methods and participatory research Choosing and planning a research project, including material on sampling, research questions, literature reviews and ethical issues Meta-analysis, research syntheses and systematic reviews Virtual worlds and internet research Using and analysing visual media and data in educational research Organizing and presenting qualitative data, content analysis, coding and computer analysis, themes, narratives, conversations and discourses, grounded theory Understanding and choosing statistical tests, descriptive and inferential statistics, multi-dimensional measurement and factor analysis Research Methods in Education is essential reading for both the professional researcher and students of education at undergraduate and postgraduate level, who need to understand how to plan, conduct, analyse and use research. The textbook is accompanied by a website: www.routledge.com/textbooks/cohen7e. PowerPoint slides for every chapter contain an outline of the chapter structure followed by a thorough summary of the key points, ideal for both lecturers and students. Within the book a variety of internet resources are referred to and these references have been included here, with links to the websites. A wide range of supplementary documents are available for many chapters, providing additional guidance and examples. They range from guidelines for the contents of a research proposal with a worked example, to screen-print manuals for using SPSS and QSR N6 NUD*IST (exportable to N-Vivo) plus data files.