Knowledge Integration


Book Description

The ability to manage knowledge is relevant for millions of small and medium sized enterprises (SMEs) that operate in high-tech environments. They strongly depend on external knowledge about customers, technologies, and competitors because, as opposed to large companies, they have limited internal knowledge resources and little power to control their business environments. Present KM literature, however, mainly focuses on large companies and therefore does not explain, how SMEs, for example, can successfully apply groupware, data mining, semantic networks, and knowledge maps. This book addresses this problem by introducing the concept of knowledge integration (KI) that places emphasis on the identification, acquisition and use of external knowledge. Drawing from this theoretical basis, the book presents concepts and instruments specifically designed for SMEs, as well as examples of their implementation and use in practice.




AISB91


Book Description

AISB91 is the eighth conference organized by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. It is not only the oldest regular conference in Europe on AI - which spawned the ECAI conferences in 1982 - but it is also the conference that has a tradition for focusing on research as opposed to applications. The 1991 edition of the conference was no different in this respect. On the contrary, research, and particularly newly emerging research dir ections such as knowledge level expert systems research, neural networks and emergent functionality in autonomous agents, was strongly emphasised. The conference was organized around the following sessions: dis tributed intelligent agents, situatedness and emergence in autonomous agents, new modes of reasoning, the knowledge level perspective, and theorem proving and machine learning. Each of these sessions is discussed below in more detail. DISTRIBUTED INTELLIGENT AGENTS Research in distributed AI is concerned with the problem of how multiple agents and societies of agents can be organized to co-operate and collectively solve a problem. The first paper by Chakravarty (MIT) focuses on the problem of evolving agents in the context of Minsky's society of mind theory. It addesses the question of how new agents can be formed by transforming existing ones and illustrates the theory with an example from game playing. Smieja (GMD, Germany) focuses on the problem of organizing networks of agents which consist internally of neural networks.




Disaster Management


Book Description

There is a perennial gap between theory and practice, between academia and active professionals in the field of disaster management. This gap means that valuable lessons are not learned and people die or suffer as a result. This book opens a dialogue between theory and practice. It offers vital lessons to practitioners from scholarship on natural hazards, disaster risk management and reduction and developments studies, opening up new insights in accessible language with practical applications. It also offers to academics the insights of the enormous experience practitioners have accumulated, highlighting gaps in research and challenging assumptions and theories against the reality of experience. Disaster Management covers issues in all phases of the disaster cycle: preparedness, prevention, response and recovery. It also addresses cross-cutting issues including political, economic and social factors that influence differential vulnerability, and key areas of practice such as vulnerability mapping, early warning, infrastructure protection, emergency management, reconstruction, health care and education, and gender issues. The team of international authors combine their years of experience in research and the field to offer vital lessons for practitioners, academics and students alike.




Internet Environments for Science Education


Book Description

Internet Environments for Science Education synthesizes 25 years of research to identify effective, technology-enhanced ways to convert students into lifelong science learners--one inquiry project at a time. It offers design principles for development of innovations; features tested, customizable inquiry projects that students, teachers, and professional developers can enact and refine; and introduces new methods and assessments to investigate the impact of technology on inquiry learning. The methodology--design-based research studies--enables investigators to capture the impact of innovations in the complex, inertia-laden educational enterprise and to use these findings to improve the innovation. The approach--technology-enhanced inquiry--takes advantage of global, networked information resources, sociocognitive research, and advances in technology combined in responsive learning environments. Internet Environments for Science Education advocates leveraging inquiry and technology to reform the full spectrum of science education activities--including instruction, curriculum, policy, professional development, and assessment. The book offers: *the knowledge integration perspective on learning, featuring the interpretive, cultural, and deliberate natures of the learner; *the scaffolded knowledge integration framework on instruction summarized in meta-principles and pragmatic principles for design of inquiry instruction; *a series of learning environments, including the Computer as Learning Partner (CLP), the Knowledge Integration Environment (KIE), and the Web-based Inquiry Science Environment (WISE) that designers can use to create new inquiry projects, customize existing projects, or inspire thinking about other learning environments; *curriculum design patterns for inquiry projects describing activity sequences to promote critique, debate, design, and investigation in science; *a partnership model establishing activity structures for teachers, pedagogical researchers, discipline experts, and technologists to jointly design and refine inquiry instruction; *a professional development model involving mentoring by an expert teacher; *projects about contemporary controversy enabling students to explore the nature of science; *a customization process guiding teachers to adapt inquiry projects to their own students, geographical characteristics, curriculum framework, and personal goals; and *a Web site providing additional links, resources, and community tools at www.InternetScienceEducation.org




Knowledge Integration Dynamics: Developing Strategic Innovation Capability


Book Description

Since the 1990s, Japanese firms have sought to expand their capacity for innovation by incorporating Western management practices into their organizational culture. This combination of Japanese and Western management practices has been highly successful — Japanese firms are presently at the forefront of technological and service innovation in areas such as digital consumer electronics, mobile phone services, and the games industry. Much can be learned from the success of Japanese companies in these areas.This book presents an analysis of the business model unique to Japanese firms, emphasising four special features: the vertical value chain model, cross-industry collaboration, dynamic knowledge integration, and strategic innovation capability. Drawing upon in-depth case studies, this book presents a new theory of knowledge integration, and places special emphasis on inter- and intra-organizational collaboration as a source of strategic innovation. It is a good reference source for academics, graduate students and professionals in the field of innovation management.




Knowledge Management


Book Description

A compact guide to knowledge management, this book makes the subject accessible without oversimplifying it. Organizational issues like strategy and culture are discussed in the context of typical knowledge management processes. The focus is always on pointing out all the issues that need to be taken into account in order to make knowledge management a success. The book then goes on to explore the role of information technology as an enabler of knowledge management relating various technologies to the knowledge management processes, showing the reader what can, and what cannot, be achieved through technology. Throughout the book, references to lessons learned from past projects underline the arguments. Managers will find this book a valuable guide for implementing their own initiatives, while researchers and system designers will find plenty of ideas for future work.




Knowledge Integration Dynamics


Book Description

Presents an analysis of the business model unique to Japanese firms, emphasising four special features: the vertical value chain model, cross-industry collaboration, dynamic knowledge integration, and strategic innovation capability. This book also emphasises on inter- and intra-organizational collaboration as a source of strategic innovation.




Measuring Scholarly Impact


Book Description

This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact. The included methods cover a range of fields such as statistical sciences, scientific visualization, network analysis, text mining, and information retrieval. The techniques and tools enable researchers to investigate metric phenomena and to assess scholarly impact in new ways. Each chapter offers an introduction to the selected topic and outlines how the topic, technology or methodological approach may be applied to metrics-related research. Comprehensive and up-to-date, Measuring Scholarly Impact: Methods and Practice is designed for researchers and scholars interested in informetrics, scientometrics, and text mining. The hands-on perspective is also beneficial to advanced-level students in fields from computer science and statistics to information science.




System Assurance


Book Description

System Assurance teaches students how to use Object Management Group's (OMG) expertise and unique standards to obtain accurate knowledge about existing software and compose objective metrics for system assurance. OMG's Assurance Ecosystem provides a common framework for discovering, integrating, analyzing, and distributing facts about existing enterprise software. Its foundation is the standard protocol for exchanging system facts, defined as the OMG Knowledge Discovery Metamodel (KDM). In addition, the Semantics of Business Vocabularies and Business Rules (SBVR) defines a standard protocol for exchanging security policy rules and assurance patterns. Using these standards together, students will learn how to leverage the knowledge of the cybersecurity community and bring automation to protect systems. This book includes an overview of OMG Software Assurance Ecosystem protocols that integrate risk, architecture, and code analysis guided by the assurance argument. A case study illustrates the steps of the System Assurance Methodology using automated tools. This book is recommended for technologists from a broad range of software companies and related industries; security analysts, computer systems analysts, computer software engineers-systems software, computer software engineers- applications, computer and information systems managers, network systems and data communication analysts. - Provides end-to-end methodology for systematic, repeatable, and affordable System Assurance. - Includes an overview of OMG Software Assurance Ecosystem protocols that integrate risk, architecture and code analysis guided by the assurance argument. - Case Study illustrating the steps of the System Assurance Methodology using automated tools.




Knowledge Integration Methods for Probabilistic Knowledge-based Systems


Book Description

Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.