An Introduction To Knowledge Engineering

Author : Simon Kendal,Malcolm Creen
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 51,6 Mb
Release : 2007-08-08
Category : Computers
ISBN : 9781846286674

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An Introduction to Knowledge Engineering by Simon Kendal,Malcolm Creen Pdf

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 : Peter Smith
Publisher : Van Nostrand Reinhold Company
Page : 244 pages
File Size : 40,9 Mb
Release : 1996
Category : Expert systems (Computer science)
ISBN : UCSC:32106012861495

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An Introduction to Knowledge Engineering by Peter Smith Pdf

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 : Kendal Simon Et.Al
Publisher : Unknown
Page : 300 pages
File Size : 44,7 Mb
Release : 2008-12-01
Category : Electronic
ISBN : 8184891490

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An Introduction To Knowledge Engineering by Kendal Simon Et.Al Pdf

Author : Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 55,5 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9783110713695

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Knowledge Engineering for Modern Information Systems by Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda Pdf

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 : Mark Stefik
Publisher : Elsevier
Page : 896 pages
File Size : 51,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080509167

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Introduction to Knowledge Systems by Mark Stefik Pdf

Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.

Author : Guus Schreiber
Publisher : MIT Press
Page : 476 pages
File Size : 40,6 Mb
Release : 2000
Category : Business & Economics
ISBN : 0262193000

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Knowledge Engineering and Management by Guus Schreiber Pdf

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 : Brian Henderson-Sellers
Publisher : Prentice Hall
Page : 292 pages
File Size : 47,9 Mb
Release : 1997
Category : Computers
ISBN : UVA:X004004373

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A Book of Object-oriented Knowledge by Brian Henderson-Sellers Pdf

Aiming to provide a comprehensive introduction to object-orientation, this book places an emphasis on analysis and design and presents a coherent methodology. It includes a chapter on software engineering and uses a running example to illustrate the concepts of object-orientation.

Author : Zevenbergen
Publisher : Unknown
Page : 128 pages
File Size : 53,8 Mb
Release : 1955-01
Category : Electronic
ISBN : 1558601260

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Introduction to Structured Knowledge Engineering by Zevenbergen Pdf

Author : Vincenzo Ambriola,Genoveffa Tortora
Publisher : World Scientific
Page : 200 pages
File Size : 40,7 Mb
Release : 1993-12-27
Category : Computers
ISBN : 9789814502573

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Advances in Software Engineering and Knowledge Engineering by Vincenzo Ambriola,Genoveffa Tortora Pdf

The papers collected in the book were invited by the editors as tutorial courses or keynote speeches for the Fourth International Conference on Software Engineering and Knowledge Engineering. It was the editors' intention that this book should offer a wide coverage of the main topics involved with the specifications, prototyping, development and maintenance of software systems and knowledge-based systems. The main issues in the area of software engineering and knowledge engineering are addressed and for each analyzed topic the corresponding of state research is reported. Contents:An Introduction to Software Architecture (D Garland & M Shaw)Modeling the Software Development Process (V Ambriola & C Montangero)Knowledge Representation in Current Design Methods (B I Blum)Unifying Multi-Paradigms in Software System Design (Y Deng & S K Chang)What is Logic Prgramming Good for in Software Engineering? (P Ciancarini & G Levi)Parallel Execution of Real-Time Petri Nets (C Ghezzi et al.)Introduction to Information Retrieval for Software Reuse (Y S Maarek)Issues in the Verification and Validation of Knowedge-Based Systems (R M O'Keefe) Readership: Computer scientists. keywords:

Author : Mike Greenwell
Publisher : Unknown
Page : 192 pages
File Size : 46,7 Mb
Release : 1988
Category : Computers
ISBN : STANFORD:36105032432879

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Knowledge Engineering for Expert Systems by Mike Greenwell Pdf

Author : IEEE Computer Society
Publisher : Unknown
Page : 348 pages
File Size : 48,8 Mb
Release : 2014
Category : Computer software
ISBN : 0769551661

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Guide to the Software Engineering Body of Knowledge (Swebok(r)) by IEEE Computer Society Pdf

In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).

Author : Shi Kuo Chang
Publisher : World Scientific
Page : 939 pages
File Size : 55,6 Mb
Release : 2001
Category : Computers
ISBN : 9789812389718

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Handbook of Software Engineering and Knowledge Engineering by Shi Kuo Chang Pdf

This is the first handbook to cover comprehensively both software engineering and knowledge engineering OCo two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic. The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering. Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering. Sample Chapter(s). Chapter 1.1: Introduction (97k). Chapter 1.2: Theoretical Language Research (97k). Chapter 1.3: Experimental Science (96k). Chapter 1.4: Evolutionary Versus Revolutionary (108k). Chapter 1.5: Concurrency and Parallelisms (232k). Chapter 1.6: Summary (123k). Contents: Computer Language Advances (D E Cooke et al.); Software Maintenance (G Canfora & A Cimitile); Requirements Engineering (A T Berztiss); Software Engineering Standards: Review and Perspectives (Y-X Wang); A Large Scale Neural Network and Its Applications (D Graupe & H Kordylewski); Software Configuration Management in Software and Hypermedia Engineering: A Survey (L Bendix et al.); The Knowledge Modeling Paradigm in Knowledge Engineering (E Motta); Software Engineering and Knowledge Engineering Issues in Bioinformatics (J T L Wang et al.); Conceptual Modeling in Software Engineering and Knowledge Engineering: Concepts, Techniques and Trends (O Dieste et al.); Rationale Management in Software Engineering (A H Dutoit & B Paech); Exploring Ontologies (Y Kalfoglou), and other papers. Readership: Graduate students, researchers, programmers, managers and academics in software engineering and knowledge engineering."

Author : Nikolopoulos
Publisher : CRC Press
Page : 356 pages
File Size : 47,6 Mb
Release : 1997-01-10
Category : Technology & Engineering
ISBN : 0824799275

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Expert Systems by Nikolopoulos Pdf

Offering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas. It considers both the system shell and programming environment approaches to expert system development.;College or university bookshops may order five or more copies at a special student price. Price is available on request.

Author : Nicholas Ross Milton
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 43,7 Mb
Release : 2007-05-01
Category : Computers
ISBN : 9781846288616

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Knowledge Acquisition in Practice by Nicholas Ross Milton Pdf

This is the first book to provide a 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 conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.

Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Publisher : Elsevier
Page : 1034 pages
File Size : 55,8 Mb
Release : 2008-01-08
Category : Computers
ISBN : 0080557023

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Handbook of Knowledge Representation by Frank van Harmelen,Vladimir Lifschitz,Bruce Porter Pdf

Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily