Knowledge Engineering For Modern Information Systems
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Author |
: Anand Sharma |
Publisher |
: Walter de Gruyter GmbH & Co KG |
Total Pages |
: 282 |
Release |
: 2022-01-19 |
ISBN-10 |
: 9783110713695 |
ISBN-13 |
: 3110713691 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Knowledge Engineering for Modern Information Systems by : Anand Sharma
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.
Author |
: Guus Schreiber |
Publisher |
: MIT Press |
Total Pages |
: 476 |
Release |
: 2000 |
ISBN-10 |
: 0262193000 |
ISBN-13 |
: 9780262193009 |
Rating |
: 4/5 (00 Downloads) |
Synopsis Knowledge Engineering and Management by : Guus Schreiber
The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.
Author |
: Simon Kendal |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 294 |
Release |
: 2007-08-08 |
ISBN-10 |
: 9781846286674 |
ISBN-13 |
: 1846286670 |
Rating |
: 4/5 (74 Downloads) |
Synopsis An Introduction to Knowledge Engineering by : Simon Kendal
An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Author |
: John Debenham |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 476 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9783642720345 |
ISBN-13 |
: 364272034X |
Rating |
: 4/5 (45 Downloads) |
Synopsis Knowledge Engineering by : John Debenham
A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems
Author |
: Manuel Graña |
Publisher |
: IOS Press |
Total Pages |
: 2307 |
Release |
: 2012 |
ISBN-10 |
: 9781614991045 |
ISBN-13 |
: 1614991049 |
Rating |
: 4/5 (45 Downloads) |
Synopsis Advances in Knowledge-Based and Intelligent Information and Engineering Systems by : Manuel Graña
In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.
Author |
: Álvaro Rocha |
Publisher |
: Springer |
Total Pages |
: 997 |
Release |
: 2019-03-26 |
ISBN-10 |
: 9783030161811 |
ISBN-13 |
: 3030161811 |
Rating |
: 4/5 (11 Downloads) |
Synopsis New Knowledge in Information Systems and Technologies by : Álvaro Rocha
This book includes a selection of articles from The 2019 World Conference on Information Systems and Technologies (WorldCIST’19), held from April 16 to 19, at La Toja, Spain. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges in modern information systems and technologies research, together with their technological development and applications. The book covers a number of topics, including A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.
Author |
: J. Cuena |
Publisher |
: IOS Press |
Total Pages |
: 266 |
Release |
: 2004 |
ISBN-10 |
: 0967335582 |
ISBN-13 |
: 9780967335582 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Knowledge Engineering and Agent Technology by : J. Cuena
The use of Knowledge Engineering and Agent Technology (KEAT) for application development is now recognized as an alternative to conventional software techniques in many application domains. From the background of the IFIP IT&KNOWS conference held in late 1998, this volume aims to discuss the role and the perspectives of domain models and corresponding reasoning processes in the different application fields under a common perspective to create conceptual bases and methods to develop and to improve the use of this type of approach in the context of information technology.
Author |
: Peter Smith |
Publisher |
: Van Nostrand Reinhold Company |
Total Pages |
: 244 |
Release |
: 1996 |
ISBN-10 |
: UCSC:32106012861495 |
ISBN-13 |
: |
Rating |
: 4/5 (95 Downloads) |
Synopsis An Introduction to Knowledge Engineering by : Peter Smith
An Introduction to Knowledge Engineering is designed to provide a practical introduction to the subject, explaining the fundamental concepts, and equipping the reader with the skills necessary to develop real expert systems
Author |
: Jeffrey W. Tweedale |
Publisher |
: Springer |
Total Pages |
: 416 |
Release |
: 2015-01-21 |
ISBN-10 |
: 9783319135458 |
ISBN-13 |
: 3319135457 |
Rating |
: 4/5 (58 Downloads) |
Synopsis Knowledge-Based Information Systems in Practice by : Jeffrey W. Tweedale
This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.
Author |
: Ela Kumar |
Publisher |
: I K International Pvt Ltd |
Total Pages |
: 334 |
Release |
: 2018-09-29 |
ISBN-10 |
: 9789385909276 |
ISBN-13 |
: 9385909274 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Knowledge Engineering by : Ela Kumar
The universe is full of different kinds of knowledge like tangible, intangible, conceptual, static, dynamic and many more. Knowledge Engineering is an advancement of Artificial Intelligence (AI). The present book describes various concepts of artificial intelligence, and other technical aspects of Knowledge Engineering and Computer Science. Knowledge representation is a key aspect of problem formulation from AI viewpoint. In the light of importance of knowledge representation and its analysis, it has emerged as a full-fledged engineering discipline. The book focuses on the concepts and issues of Knowledge Engineering that have impact on business management strategies, productivity, and the key elements of any business and its people. It also discusses, the skills required from the persons working in this area.