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Knowledge Management Handbook
Many organizations are now realizing that their competitive edge lies mostly in the brainpower-the intellectual capital-of their employees and management. To stay ahead of the pack, companies must leverage their knowledge, internally and externally. But it is not enough to develop lessons-learned databases. Experts now believe the current savior of organizations is knowledge management-the conceptualization, review, consolidation, and action phases of creating, securing, combining, coordinating, and retrieving knowledge-in short, the process of creating value from an organization's intangible assets. Jay Liebowitz, one of the leading knowledge management and expert systems authorities in the...
Knowledge-Based Configuration
Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and ...
Knowledge Transfer
Your company's Intellectual capital is the unique knowledge and skills your senior employees have gained through many years of experience. This intellectual capital will begin to dissipate as senior experienced employees retire or resign. The question you may want to ask is how can you capture, transfer, and preserve your company's intellectual capital before your senior experienced employees retire. Today, many companies are implementing ways to capture and transfer the skills and knowledge gained by senior employees to younger employees. Without a process in place, younger employee will take longer to competently perform the job left vacant by the retiring experienced employees. Without ad...
Feature Selection for Knowledge Discovery and Data Mining
As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in ...
Governing Knowledge-Processes
The objective of this special issue is to contribute to the understanding of Knowledge Governance in the Mulitnational Corporation. Like the traditional literature on corporate governance the authors are concerned with the attraction of crucial capital, its efficient allocation, as well as the mechanism used to achieve capital accumulation and optimal utilization. Knowledge as a particular sort of capital is seen as increasingly crucial to the existence, boundaries, and economic organization of modern Multinational Corporation.
Multilinguality in Knowledge Graphs
Content on the web is predominantly written in English, making it inaccessible to those who only speak other languages. Knowledge graphs can store multilingual information, facilitate the creation of multilingual applications, and make content accessible to multiple language communities. This book, Multilinguality in Knowledge Graphs, presents studies which assess and improve the state of labels and languages in knowledge graphs and the application of multilingual information. The author proposes ways of using multilingual knowledge graphs to reduce the gaps in coverage between languages, and the book explores the current state of language distribution in knowledge graphs by developing a fra...
Knowledge Management
Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enh
Computer Integrated Manufacturing - Proceedings Of The 3rd International Conference (In 2 Volumes)
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Knowledge-Based Software Engineering
The papers in this publication address many topics in the context of knowledge-based software engineering, including new challenges that have arisen in this demanding area of research. Topics in this book are: knowledge-based requirements engineering, domain analysis and modeling; development processes for knowledge-based applications; knowledge acquisition; software tools assisting the development; architectures for knowledge-based systems and shells including intelligent agents; intelligent user interfaces and human-machine interaction; development of multi-modal interfaces; knowledge technologies for semantic web; internet-based interactive applications; knowledge engineering for process ...
