- Table View
- List View
Knowledge Intensive Computer Aided Design: IFIP TC5 WG5.2 Third Workshop on Knowledge Intensive CAD December 1–4, 1998, Tokyo, Japan (IFIP Advances in Information and Communication Technology #33)
by Susan Finger Tetsuo Tomiyama Martti MäntyläThis state-of-the-art book explores the concept of knowledge-intensive CAD systems. The topics covered range from ontology to knowledge representation, making it essential reading for researchers, engineers, and technical managers involved in the development of advanced applications for knowledge management, engineering design, and manufacturing.
Knowledge Intensive Design Technology: IFIP TC5 / WG5.2 Fifth Workshop on Knowledge Intensive CAD July 23–25, 2002, St. Julians, Malta (IFIP Advances in Information and Communication Technology #136)
by Kenneth P. Camilleri Philip J. Farrugia Jonathan C. BorgKnowledge Intensive Design Technology is a collection of papers presented at the Fifth Workshop on Knowledge Intensive CAD, which was sponsored by the International Federation for Information Processing (IFIP) Working Group 5.2 and hosted by the Department of Manufacturing Engineering at the University of Malta in July 2002. The book chapters progressively take the reader through the following sequential sections; -Part One - KIC Development Approaches, -Part Two - Knowledge Systematization, -Part Three - Prototype KIC Systems.Knowledge Intensive Design Technology makes essential reading for practicing engineers/scientists involved in R&D as well as for relevant Masters and Ph.D. students. The book is also pertinent to those in industry concerned with capturing and structuring company-specific knowledge for proactive reuse to increase product development efficiency, and also to those involved in the development of CAD systems.
The Knowledge Landscapes of Cyberspace
by David HakkenHow is knowledge produced and used in cyberspace? David Hakken - a key figure in the anthropology of science and technology studies - approaches the study of cyberculture through the venue of knowledge production, drawing on critical theory from anthropology, philosophy and informatics (computer science) to examine how the character and social functions of knowledge change profoundly in computer-saturated environments. He looks at what informational technologies offer, how they are being employed, and how they are tied to various agendas and forms of power. Knowledge Landscapes will be essential for both social scientists and cultural studies scholars doing research on cyberculture.
The Knowledge Landscapes of Cyberspace
by David HakkenHow is knowledge produced and used in cyberspace? David Hakken - a key figure in the anthropology of science and technology studies - approaches the study of cyberculture through the venue of knowledge production, drawing on critical theory from anthropology, philosophy and informatics (computer science) to examine how the character and social functions of knowledge change profoundly in computer-saturated environments. He looks at what informational technologies offer, how they are being employed, and how they are tied to various agendas and forms of power. Knowledge Landscapes will be essential for both social scientists and cultural studies scholars doing research on cyberculture.
The Knowledge Machine: How an Unreasonable Idea Created Modern Science
by Michael StrevensA groundbreaking and timely analysis of how science works and how we can preserve its power to grow our knowledgeOver the last three centuries, huge leaps in our scientific understanding and, as a result, in our technology have completely transformed our way of life and our vision of the universe. Why is science so powerful? And why did we take so long to invent it - two thousand years after the invention of philosophy, mathematics and other disciplines that are the mark of civilization?The Knowledge Machine gives a radical answer, exploring how science calls on its practitioners to do something not supremely rational but rather apparently irrational: strip away all previous knowledge - such as theological or metaphysical beliefs - in order to channel unprecedented energy into observation and experiment. Rich with tales of discovery and misadventure, like Yuval Noah Harari's Sapiens, Strevens's stimulating and highly original investigation reframes what we thought we knew about the origins of the modern world.'Powerful, bracingly argued and important. There is something here for everyone -- for the expert, who will be challenged to rethink what science really is; for the layperson, who will rejoice in Strevens's deft and witty storytelling; and for the student, who will find a friendly and authoritative guide to Newton, Einstein, Popper, Kuhn, and all that' Jim Holt, author of Why Does the World Exist?
Knowledge Management and Engineering with Decisional DNA (Intelligent Systems Reference Library #183)
by Edward Szczerbicki Cesar SaninThis is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.
Knowledge Management and Industry 4.0: New Paradigms for Value Creation (Knowledge Management and Organizational Learning #9)
by Eleonora Di Maria Marco Bettiol Stefano MicelliThe book discusses the opportunities and challenges of managing knowledge in the new reality of Industry 4.0. Addressing paradigmatic changes in value creation due to the development of digital technologies applied to manufacturing (additive manufacturing, IoT, robotics, etc.), it includes theoretical and empirical contributions on how Industry 4.0 technologies allow firms to create and exploit knowledge. The carefully selected expert contributions highlight the potential of these technologies in acquiring knowledge from a larger number of sources and examine approaches to innovation, organization of activities, and stakeholder development in the context of this next industrial revolution.
Knowledge Management and Innovation: Interaction, Collaboration, Openness
by Pierre Barbaroux Amel Attour Erik SchenkThis book explores the relationships between knowledge management (KM) processes and innovation management. The geographical extension of markets and intensification of competition have led firms to experiment with novel approaches to innovation. New organizational forms emerged in which firms collaborate with various stakeholders to create, absorb, integrate and protect knowledge. This book explores how knowledge management processes evolve with firms' implementation of interactive, collaborative and open innovation models and it identifies the various knowledge types and processes involved throughout the different phases of the innovation process. The authors provide operational typologies for understanding innovative firms' capabilities and knowledge management practices and also discuss the main properties of four models of interactive innovation, namely open innovation, user-centric innovation, community-based innovation and crowdsourcing.
Knowledge Management and Innovation: Interaction, Collaboration, Openness
by Pierre Barbaroux Amel Attour Erik SchenkThis book explores the relationships between knowledge management (KM) processes and innovation management. The geographical extension of markets and intensification of competition have led firms to experiment with novel approaches to innovation. New organizational forms emerged in which firms collaborate with various stakeholders to create, absorb, integrate and protect knowledge. This book explores how knowledge management processes evolve with firms' implementation of interactive, collaborative and open innovation models and it identifies the various knowledge types and processes involved throughout the different phases of the innovation process. The authors provide operational typologies for understanding innovative firms' capabilities and knowledge management practices and also discuss the main properties of four models of interactive innovation, namely open innovation, user-centric innovation, community-based innovation and crowdsourcing.
Knowledge Management and Learning Organizations
by Carolina Machado J. Paulo DavimThis book focuses on knowledge management and learning organizations, showing how they realise entrepreneurship and innovation. Understanding knowledge management as the process of creating, sharing and managing an organization’s information and knowledge, and focusing learning organizations in their collaborations to promote continuous learning are two issues that are critical to the organizational success. As such, this book offers insights into the topic and the appropriate use of the tools and strategies that drive competitive organizations operating on an international or transnational scale.
Knowledge Management for Educational Innovation: IFIP WG 3.7 7th Conference on Information Technology in Educational Management (ITEM), Hamamatsu, Japan, July 23-26, 2006 (IFIP Advances in Information and Communication Technology #230)
by Toshio Okamoto Adrie Visscher Arthur TatnallThis book contains selected papers presented at the seventh Conference on Working Group 3.7 of the International Federation for Information Processing. The focus of Working Group 3.7 is on ITEM: Information Technology in Educational Management. The overall goal of the conference was to demonstrate and explore directions for developing and improving all types of educational institutions through ITEM.
Knowledge Management in Construction
by Chimay J. Anumba Charles Egbu Patricia CarrilloA key problem facing the construction industry is that all work is done by transient project teams, and in the past there has been no structured approach to learning from projects once they are completed. Now, though, the industry is adapting concepts of knowledge management to improve the situation. This book brings together 13 contributors from research and industry to show how managing construction knowledge can bring real benefits to organisations and projects. It covers a wide range of issues, from basic definitions and fundamental concepts, to the role of information technology, and engendering a knowledge sharing culture. Practical examples from construction and other industry sectors are used throughout to illustrate the various dimensions of knowledge management. The challenges of implementing knowledge management are outlined and the ensuing benefits highlighted.
Knowledge Management in Electronic Government: 4th IFIP International Working Conference, KMGov 2003, Rhodes, Greece, May 26-28, 2003, Proceedings (Lecture Notes in Computer Science #2645)
by Maria A. WimmerThe importance of Knowledge Management (KM) is increasingly recognized in business and public sector domains. The latter is particularly suitable for KM implementations since it deals with information and knowledge resources at a large scale: much of the work of public authorities deals with the elaboration of data, information and knowledge on citizens, businesses, society, markets, the environment, law, politics, etc. Even most products of public administration and government work are delivered in the shape of information and knowledge themselves. This especially applies to policies, management, and the regulation and monitoring of society, markets and the environment. Governments expect advanced support from KM concepts and tools to exploit these huge knowledge and information resources in an efficient way. Not only does the trend towards a knowledge society call for KM solutions, but current e government developments also significantly influence the public sector. Ample access to remote information and knowledge resources is needed in order to facilitate: Citizen and businesses oriented service delivery, including one stop service provision; interorganizational co operation between governmental agencies; cross border support for complex administrative decision making; e government integration of dislocated information and knowledge sources into a fabric of global virtual knowledge.
Knowledge Management in Organizations: 13th International Conference, KMO 2018, Žilina, Slovakia, August 6–10, 2018, Proceedings (Communications in Computer and Information Science #877)
by Lorna Uden Branislav Hadzima I-Hsien TingThis book contains the refereed proceedings of the 13th International Conference on Knowledge Management in Organizations, KMO 2018, held in Žilina, Slovakia, in August 2018. The theme of the conference was "Emerging Research for Knowledge Management in Organizations."The 59 papers accepted for KMO 2018 were selected from 141 submissions and are organized in topical sections on: Knowledge management models and analysis; knowledge sharing; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; knowledge and technology management; data mining and intelligent science; business and customer relationship management; big data and IoT; and new trends in IT.
Knowledge Management, Information Systems, E-Learning, and Sustainability Research: Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010, Proceedings, Part I (Communications in Computer and Information Science #111)
by Patricia Ordonez De Pablos Adrian Ziderman Alan Roulstone Hermann Maurer Jonathan B. Imber Miltiadis D. LytrasIt is a great pleasure to share with you the Springer CCIS 111 proceedings of the Third World Summit on the Knowledge Society––WSKS 2010––that was organized by the International Scientific Council for the Knowledge Society, and supported by the Open Research Society, NGO, (http://www.open-knowledge-society.org) and the Int- national Journal of the Knowledge Society Research, (http://www.igi-global.com/ijksr), and took place in Aquis Corfu Holiday Palace Hotel, on Corfu island, Greece, September 22–24, 2010. The Third World Summit on the Knowledge Society (WSKS 2010) was an inter- tional scientific event devoted to promoting the dialogue on the main aspects of the knowledge society towards a better world for all. The multidimensional economic and social crisis of the last couple years brings to the fore the need to discuss in depth new policies and strategies for a human-centric developmental process in the global c- text. This annual summit brings together key stakeholders of knowledge society dev- opment worldwide, from academia, industry, government, policy makers, and active citizens to look at the impact and prospects of it information technology, and the knowledge-based era it is creating, on key facets of living, working, learning, innovating, and collaborating in today’s hyper-complex world.
Knowledge Mining: Proceedings of the NEMIS 2004 Final Conference (Studies in Fuzziness and Soft Computing #185)
by Spiros SirmakessisText mining is an exciting application ?eld and an area of scienti?c - search that is currently under rapid development. It uses techniques from well-established scienti?c ?elds (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an e?ort to help people gain insight, und- stand and interpret large quantities of (usually) semi-structured and unstr- tured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identi?ed, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the ?eld of Text Mining – especially in relation to IT – and whether there still remain areas to be covered. Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scienti?c research, knowledge mining is principally concerned with the quantitative synthesis and visualization of - search results and ?ndings. The results of knowledge mining are increased scienti?c understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the p- sentation of “best” scienti?c evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.
Knowledge Processing and Decision Making in Agent-Based Systems (Studies in Computational Intelligence #170)
by Lakhmi C. Jain Ngoc Thanh NguyenKnowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems
Knowledge Recommendation Systems with Machine Intelligence Algorithms: People and Innovations (Studies in Computational Intelligence #1101)
by Jarosław ProtasiewiczKnowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively.This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully.The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge.This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.
Knowledge Representation Techniques: A Rough Set Approach (Studies in Fuzziness and Soft Computing #202)
by Patrick Doherty Witold Lukaszewicz Andrzej SzalasThis book contains a cohesive, self-contained collection of theoretical and applied research results that have been achieved in this project which pertain to nonmonotonic and approximate easoning systems developed for an experimental unmanned aerial vehicle system used in the project. This book should be of interest to the theoretician and applied researcher alike and to autonomous system developers and software agent and intelligent system developers.
Knowledge Representations for Planning Manipulation Tasks (Cognitive Systems Monographs #16)
by Franziska ZachariasIn this book, the capability map, a novel general representation of the kinematic capabilities of a robot arm, is introduced. The capability map allows to determine how well regions of the workspace are reachable for the end effector in different orientations. It is a representation that can be machine processed as well as intuitively visualized for the human. The capability map and the derived algorithms are a valuable source of information for high- and low-level planning processes. The versatile applicability of the capability map is shown by examples from several distinct application domains. In human-robot interaction, a bi-manual interface for tele-operation is objectively evaluated. In low-level geometric planning, more human-like motion is planned for a humanoid robot while also reducing the computation time. And in high-level task reasoning, the suitability of a robot for a task is evaluated.
Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13369)
by Gerard Memmi Baijian Yang Linghe Kong Tianwei Zhang Meikang QiuThe three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:Volume I:Knowledge Science with Learning and AI (KSLA)Volume II:Knowledge Engineering Research and Applications (KERA)Volume III:Knowledge Management with Optimization and Security (KMOS)
Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12815)
by Han Qiu Cheng Zhang Zongming Fei Meikang Qiu Sun-Yuan KungThis three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12816)
by Han Qiu Cheng Zhang Zongming Fei Meikang Qiu Sun-Yuan KungThis three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III (Lecture Notes in Computer Science #12817)
by Han Qiu Cheng Zhang Zongming Fei Meikang Qiu Sun-Yuan KungThis three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium (Intelligent Systems Reference Library #8)
by Edward H. Lim James N. Liu Raymond S.T. LeeThe Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.