UML for Developing Knowledge Management Systems
Autor Anthony J. Rhemen Limba Engleză Paperback – 11 sep 2019
This volume enables knowledge engineers, systems analysts, designers, developers, and researchers to understand the concept of knowledge modeling with Unified Modeling Language (UML). It offers a guide to quantifying, qualifying, understanding, and modeling knowledge by providing a reusable framework that can be adopted for KMS implementation.
Following a brief history of knowledge management, the book discusses knowledge acquisition and the types of knowledge that can be discovered within a domain. It offers an overview of types of models and the concepts behind them. It then reviews UML and how to apply UML to model knowledge. The book concludes by defining and applying the Knowledge Acquisition framework via a real-world case study.
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Specificații
ISBN-13: 9780367391713
ISBN-10: 0367391716
Pagini: 288
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
ISBN-10: 0367391716
Pagini: 288
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Public țintă
Professional Practice & DevelopmentCuprins
Introduction. Knowledge management. Declarative knowledge. Procedural knowledge. Tacit knowledge. Explicit knowledge. Process knowledge and concept knowledge. Case-based reasoning. Knowledge modeling. UML - an introduction. Knowledge modeling with UML. Defining a knowledge acquisition framework. Business case: Department of motor vehicles reporting system. Applying your knowledge framework. Summary.
Descriere
UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume enables knowledge engineers, systems analysts, designers, developers, and researchers to understand the concept of knowledge modeling with Unified Modeling Language (UML). It offers a guide to quantifying, qualifying, understanding, and modeling knowledge by providing a reusable framework that can be adopted for KMS implementation.