Nada Matta - Böcker

The task of knowledge management (KM) is to capture explicit and tacit knowledge of an organization in order to facilitate the access, sharing, and reuse of that information. This must be guided by a strategic vision to fulfill its primary organizational objectives: improving knowledge sharing and co-operative work inside the organization; disseminating best practices; improving relationships with the external world; preserving past knowledge of the company for reuse; improving the quality of projects and innovations; anticipating the evolution of the external environment; and preparing for unexpected events and managing urgency and crisis situations. One approach for KM is to build a corporate memory or organizational memory (OM), for which several techniques can be adopted. The choice of a solution depends on the type of organization, its needs and its culture, and must take into account the organization's people and technology. This text presents models, methods, and techniques for building, managing and using corporate memories. These models incorporate knowledge bases, ontologies, documents, FAQs, workflow systems, case-based reasoning systems, multi-agent systems, and CSCW.The book is divided into five parts: methods; knowledge-based approaches; ontologies and documents; case-based reasoning approaches; and distributed and collaborative approaches.

Knowledge Management and Organizational Memories presents models, methods, and techniques for building, managing and using corporate memories. These models incorporate knowledge bases, ontologies, documents, FAQs, workflow systems, case-based reasoning systems, multi-agent systems, and CSCW. The book is divided into five parts: methods; knowledge-based approaches; ontologies and documents; case-based reasoning approaches; and distributed and collaborative approaches.

This book presents a study carried out by the IEEE-SMC French chapter on ethics and digital transformation in industry and society. Based on a survey of researchers in ICT, artificial intelligence (AI), as well as on presentation seminars, this study examines the various aspects that should be considered when assessing ethical principles in approaches to digital transition, particularly with regard to intelligent systems. Considering this, Ethics and Digital Transition presents the main technologies and uses of intelligent systems. Bringing together specialists from various fields, it explores the different dimensions of ethics that should be considered in the development of these systems, from the engineering sciences to law, sociology and philosophy. It also looks at the future challenges of ethics in the digital transition.

This book presents results of projects carried out by both scientific and industry researchers into the techniques to help in maintenance, control, supervision and security of systems, taking into account the technical environmental and human factors.This work is supported by the Scientific Group GIS 3SGS. It is a collaborative work from 13 partners (academic and industrial) who have come together to deal with security problems. The problems and techniques discussed mainly focus on stochastic and dynamic modeling, maintenance, forecasting, diagnosis, reliability, performance, organizational, human and environmental factors, uncertainty and experience feedback.