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Knowledge Systems and Translation
It is generally agreed that knowledge plays an important role in translation and interpreting and that it should therefore be of central concern to translation and interpreting studies. However, there is no general agreement about what is actually meant by the term 'knowledge' in this context, nor about in exactly what ways it is relevant. Also, present-day translation and interpreting studies offer only a limited amount of research specifically dedicated to knowledge systematization and other knowledge-related issues. This book is one of the first to systematically and exclusively address the question of knowledge in translation and interpreting. It is a collection of papers by leading scho...
Bridging Scales and Knowledge Systems
Bridging the gap between local knowledge and western science is essential to understanding the world's ecosystems and the ways in which humans interact with and shape those ecosystems. This book brings together a group of world-class scientists in an unprecedented effort to build a formal framework for linking local and indigenous knowledge with the global scientific enterprise. Contributors explore the challenges, costs, and benefits of bridging scales and knowledge systems in assessment processes and in resource management. Case studies look at a variety of efforts to bridge scales, providing important lessons concerning what has worked, what has not, and the costs and benefits associated with those efforts. Drawing on the groundbreaking work of the Millennium Eco-system Assessment, Bridging Scales and Knowledge Systems will be indispensable for future efforts to conduct ecosystem assessments around the world.
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Foundations of Information and Knowledge Systems
This book constitutes the refereed proceedings of the 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022, held in Helsinki, Finland, in June 2022. The 13 full papers presented were carefully reviewed and selected from 21 submissions. The papers address various topics such as information and knowledge systems, including submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics and optimization.
Knowledge and the Family Business
Family businesses—the predominant form of business organization around the world—can make numerous, critical contributions to the economy and family well-being in both financial and qualitative terms. But dysfunctional family businesses can be difficult to manage, painful experiences at best, and they can destroy family wealth and personal relationships. This book explores the dynamics of family business management, in the context of constantly changing market conditions and the role that knowledge management plays in strategic planning and adaptation. Integrating the literature from family business, entrepreneurship, industrial psychology, and knowledge management, and with illustrative...
The Society of Text
This collection of essays continues Barrett's investigations into implementing networked online systems described in his first book Text, ConText, and HyperText, with a more focused emphasis on specific hypermedia systems. In four parts the 22 essays take up designing hypertext and hypermedia systems for the online user; textual intervention and collaboration; new roles for writers; and sensemaking and learning in the online environment.In his introduction, Barrett analyzes the design of networked online systems as part of a collaborative process, asserting that the online environment fosters collaboration by using computer technology to support interaction among those who design, use, and w...
The Knowledge Frontier
Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game pla...
