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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: 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: H. Tsoukas
Publisher: Springer
Published: 2016-01-25
Total Pages: 322
ISBN-13: 0230524540
DOWNLOAD EBOOKKnowledge has only recently been widely recognized as an organizational asset, the effective management of which can afford a firm competitive advantage. This book takes an interdisciplinary approach to knowledge management relating it to business strategy, dynamic capabilities and firm performance. Some of the most eminent scholars in management have contributed to this timely book, including John Seely Brown, Chris Argyris, Georg von Krogh, Soumitra Dutta, Howard Thomas and John McGee, Arie Lewin and Silvia Massini. The book offers practitioners and students alike state of the art research in the field of organizational knowledge and management
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: 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: 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: Frank Puppe
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 353
ISBN-13: 3642779719
DOWNLOAD EBOOKAt present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.
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.
Author: Millennium Ecosystem Assessment (Program)
Publisher:
Published: 2006-10-30
Total Pages: 382
ISBN-13:
DOWNLOAD EBOOKBridging the gap between local knowledge and western science is essential to understanding the world's ecosystems and the ways in which humans interact with and shape those ecosystems. This book brings together a group of world-class scientists in an unprecedented effort to build a formal framework for linking local and indigenous knowledge with the global scientific enterprise. Contributors explore the challenges, costs, and benefits of bridging scales and knowledge systems in assessment processes and in resource management. Case studies look at a variety of efforts to bridge scales, providing important lessons concerning what has worked, what has not, and the costs and benefits associated with those efforts. Drawing on the groundbreaking work of the Millennium Eco-system Assessment, Bridging Scales and Knowledge Systems will be indispensable for future efforts to conduct ecosystem assessments around the world.
