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Author: Mark Stefik
Publisher: Morgan Kaufmann
Published: 1995
Total Pages: 906
ISBN-13:
DOWNLOAD EBOOKThe art of building knowledge systems is multidisciplinary, incorporating computer science theory, programming practice and psychology. This book incorporates these varied fields covering topics ranging from algorithms and representations to techniques for acquiring the task specific knowledge.
Author: Simon Kendal
Publisher: Springer Science & Business Media
Published: 2007-08-08
Total Pages: 294
ISBN-13: 1846286670
DOWNLOAD EBOOKAn 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: Mark Stefik
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 891
ISBN-13: 0080509169
DOWNLOAD EBOOKFocusing 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: Claudio Gnoli
Publisher: Facet Publishing
Published: 2020-07-15
Total Pages: 160
ISBN-13: 1783304650
DOWNLOAD EBOOKThis book provides a complete introduction to the rapidly expanding field of Knowledge organization (KO), presenting historical precedents and theoretical foundations in a discursive, intelligible form, covering the philosophical, linguistic and technical aspects. In the contemporary context of global information exchange through linked data, Knowledge organization systems (KOS) need to be represented in standard inter-operable formats. Different formats for KOS representation including MARC, Dublin Core, SKOS and OWL are introduced as well as the application of Knowledge organization to a variety of activities and contexts: education, encyclopedic knowledge, the Internet, libraries, archives, museums, galleries and other institutions collecting and providing access to recorded knowledge. Key coverage includes: • ontology and epistemology in KO • KO structures: lists, hierarchies, facets... • KO types: tagging, taxonomies, thesauri, classifications... • conceptual analysis of documents • applications in the digital age. Covering theoretical and practical aspects of KO and using real-life examples to illustrate its application, this book will be a valuable resource for students, researchers and practitioners of Knowledge organization, information organization, cataloguing and classification.
Author: Kesheng Wang
Publisher: Tapir Academic Press
Published: 2001
Total Pages: 354
ISBN-13: 9788251916608
DOWNLOAD EBOOKKnowledge Management (KM) is a hybrid discipline, containing elements of social sciences, technology and business. KM focuses on creating and sharing knowledge. The discipline is a holistic system for management of intellectual capital, organization change, knowledge creation and sharing, for continuous improvement and innovation, and organizational learning, resulting in increased value creation. This symbioses of disciplines takes place within the organizations' vision, purpose and strategy. Introduction to Knowledge Management provides a strategic roadmap for knowledge management and teaches how to implement KM in a company, step by step.
Author: Todd Groff
Publisher: Routledge
Published: 2012-06-25
Total Pages: 188
ISBN-13: 1136392408
DOWNLOAD EBOOKThis book introduces readers to a wide range of knowledge management (KM) tools, techniques and terminology for enhancing innovation, communication and dedication among individuals and workgroups. The focus is on real-world business examples using commonly available technologies. The book is set out in a clear and straightforward way, with definitions highlighted, brief case studies included that illustrate key points, dialogue sections that probe for practical applications, and written exercises. Each chapter concludes with discussion questions, review questions, and a vocabulary review. An Online Instructor's Guide is available.
Author: Emmanuel K. Boon
Publisher:
Published: 2007
Total Pages: 280
ISBN-13:
DOWNLOAD EBOOKContributed papers presented at the Conference.
Author: Kapil Kapoor
Publisher:
Published: 2005
Total Pages: 336
ISBN-13:
DOWNLOAD EBOOKContributed articles on Intellectual life and Hindu civilization presented at a seminar held in Shimla at 2003.
Author: Elizabeth Sumida Huaman (Wanka/Quechua and Japanese), University of Minnesota, Twin Cities
Publisher: Canadian Scholars
Published: 2020-08-25
Total Pages: 386
ISBN-13: 1773382071
DOWNLOAD EBOOKBringing together researchers from geographically, culturally, and linguistically diverse regions, Indigenous Knowledge Systems and Research Methodologies offers practical guidance and lessons learned from research projects in and with Indigenous communities around the world. With an aim to examine issues of power, representation, participation, and accountability in studies involving Indigenous populations, the contributors reflect on their own experiences conducting collaborative research in distinct yet related fields. The book is anchored by specific themes: exploring decolonizing methodological paradigms, honoring Indigenous knowledge systems, and growing interdisciplinary collaboration toward Indigenous self-determination. This volume makes a significant contribution to Indigenous community as well as institutional scholarly and practical discussions by emphasizing guidance and questions from Indigenous scholars who are designing studies and conducting research that is moving the field of Indigenous research methodologies forward. Discussing challenges and ideas regarding research ethics, data co-ownership, data sovereignty, and dissemination strategies, this text is a vital resource for all students interested in the application of what can be gained from Indigenous research methods.
Author: S Krishna
Publisher: World Scientific Publishing Company
Published: 1992-03-26
Total Pages: 352
ISBN-13: 9813103515
DOWNLOAD EBOOKThis book provides a comprehensive yet concise coverage of the concepts and technology of database systems and their evolution into knowledge-bases. The traditional material on database systems at senior undergraduate level is covered. An understanding of concepts is emphasized avoiding extremes in formalism or detail.Rather than be restricted to a single example used over an entire book, a variety of examples are used. These enable the reader to understand the basic abstractions which underlie description of many practical situations.A major portion of the book concerns database system technology with focus on the relational model. Various topics are discussed in detail, preparing the ground for more advanced work.
