knowledge acquisition practice step by step von milton nicholas (8 Ergebnisse)

hardcover. Zustand: Very Good. Knowledge Acquisition in Practice: A Step-by-step Guide (Decision Engineering) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9781849966610.

Zustand: New. In.

Zustand: New. In.

Zustand: New. Only book to present a step-by-step guide that walks the reader through a knowledge acquisition project, presenting a methodology that can be used for any area of expertise and any type of expertWill enable the reader to identify, capture, .

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies. Knowledge Acquisition Projects is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems. In addition, each step has a checklist which lists the key items that should be achieved during the step.Knowledge Acquisition Projects will be of value to knowledge engineers, knowledge workers, knowledge officers and ontological engineers. The book will also be of interest to students and researchers of AI, computer science and business studies.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies. Knowledge Acquisition Projects is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems. In addition, each step has a checklist which lists the key items that should be achieved during the step.Knowledge Acquisition Projects will be of value to knowledge engineers, knowledge workers, knowledge officers and ontological engineers. The book will also be of interest to students and researchers of AI, computer science and business studies.