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"Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society." —Nikil Jayant, Eminent Scholar, Georgia Research Alliance "Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'" —Bishnu S. Atal, Member, National Academy of Engineering This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet. It describes numerous innovative methods that go well beyond information retrieval to allow computers to accomplish such tasks as processing, classifying, prioritizing, and reconstituting knowledge. The book is divided into five parts: New knowledge sensing and filtering environments Concept building and wisdom machines General structure and theory of knowledge Verb functions and noun objects Humanistic and semi-human systems This book offers new mathematical methodologies and concrete HW/SW/FW configurations for the IT specialist to help their corporations explore, exploit, compete, and win global market share.
This book provides a thorough overview of the Wisdom Web of Things (W2T), a holistic framework for computing and intelligence in an emerging hyper-world with a social-cyber-physical space. Fast-evolving Web intelligence research and development initiatives are now moving toward understanding the multifaceted nature of intelligence and incorporating it at the Web scale in a ubiquitous environment with data, connection and service explosion. The book focuses on the framework and methodology of W2T, as well as its applications in different problem domains, such as intelligent businesses, urban computing, social computing, brain informatics and healthcare. From the researcher and developer perspectives, the book takes a systematic, structured view of various W2T facets and their overall contribution to the development of W2T as a whole. Written by leading international researchers, this book is an essential reference for researchers, educators, professionals, and tertiary HDR students working on the World Wide Web, ubiquitous computing, knowledge management, and business intelligence.
Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent, and optimal fashion. The book brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation, and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases, as well as how to ensure the security of information in open, easily accessible, and fast digital networks. Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent knowledge sciences discipline that provides readers with tools, units, and measures to evaluate the flow of knowledge during course work or their research. He offers a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research. The author has experience both in industry and in teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education. - Presents a current perspective of developments in central, display, signal, and graphics processor-units as they apply to designing knowledge systems - Offers ideas and methodologies for systematically extending data and object processing in computing into other disciplines such as economics, mathematics, and management - Provides best practices and designs for engineers alongside case studies that illustrate practical implementation ideas across multiple domains
Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.
This volume, edited as a Festschrift in honor of Prof. Milan Zeleny, reflects and emulates his unmistakable legacy: the essential multidimensionality of human and social affairs. There are many levels of this multidimensionality presented in this volume: 1. Multidisciplinarity of contributed papers 2. Multinationality of their authors, extending even to the editors and the publisher and 3. Multicultural and multilevel exposition, ranging from empirical studies to philosophical foundations. Generally, these papers can be divided into three parts: Multiple Criteria Decision Making; Social and Human System Management; and Information, Knowledge and Wisdom Management. It is the recognition of multidimensionality in decision making, economics, optimization, systems, cybernetics and the pursuit of knowledge that bear the stamp of specific Zeleny’s contributions. His life-long dedication to multidimensionality has produced an ultimate multidimensional being, living in academic ‘multiverse’, functioning in a boundaryless world of all continents, cultures and countries. This book is as diverse and as multidimensional as the man and his work.
Emphasizes balancing the Nodes. It is much easier to continue at the South Node than to come to the North Node. One pushes & struggles at the North Node area where the new growth must be worked for. Whenever anything goes wrong in life, a person wants to revert to the South Node position where he is safe & secure. A complete Nodal analysis with aspects, transits to the nodes & synastry between charts.
This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.
The Three-volume set LNCS 14596, 14597 and 14598 constitutes the proceedings of the 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024, which was hosted virtually by University of Tsukuba, Japan and in presence by Jilin University, Changchun, China, during April 15–26, 2024. The 36 full papers and 55 short papers are presented in these proceedings were carefully reviewed and selected from 218 submissions. The papers are organized in the following topical sections: Volume I: Archives and Information Sustainability; Behavioural Research; AI and Machine Learning; Information Science and Data Science; Information and Digital Literacy. Volume II: Digital Humanities; Intellectual Property Issues; Social Media and Digital Networks; Disinformation and Misinformation; Libraries, Bibliometrics and Metadata. Volume III: Knowledge Management; Information Science Education; Information Governance and Ethics; Health Informatics; Human-AI Collaboration; Information Retrieval; Community Informatics; Scholarly, Communication and Open Access. .