Knowledge Engineering for Modern Information Systems: Methods, Models and Tools - Couverture rigide

 
9783110713169: Knowledge Engineering for Modern Information Systems: Methods, Models and Tools
Couverture rigide
ISBN 10 : 3110713160 ISBN 13 : 9783110713169
Editeur : De Gruyter, 2022

Synopsis

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

S. Kautish, LBEF; P. Agrawal, Univ. of Klagenfurt; V. Madaan, LPU; C. Gupta, Bhagwan Inst. of Techn.; S. Nanda, Synopsys.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
De Gruyter
Date d'édition
2022
Langue
anglais
ISBN 10 
3110713160
ISBN 13 
9783110713169
Reliure
Relié
Nombre de pages
238
Éditeur
Sharma Anand, Kautish Sandeep, Agrawal Prateek, Madaan Vishu, Gupta Charu, Nanda Saurav
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne