Current Trends On Knowledge Based Systems

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Current Trends on Knowledge-Based Systems

Author : Giner Alor-Hernández,Rafael Valencia-García
Publisher : Springer
Page : 290 pages
File Size : 49,8 Mb
Release : 2017-03-13
Category : Technology & Engineering
ISBN : 9783319519050

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Current Trends on Knowledge-Based Systems by Giner Alor-Hernández,Rafael Valencia-García Pdf

This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.

Current Trends in Knowledge Acquisition

Author : Bob Wielinga
Publisher : IOS Press
Page : 390 pages
File Size : 53,8 Mb
Release : 1990
Category : Computers
ISBN : 9051990367

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Current Trends in Knowledge Acquisition by Bob Wielinga Pdf

Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.

On Knowledge Base Management Systems

Author : Michael L. Brodie,John Mylopoulos
Publisher : Springer Science & Business Media
Page : 650 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461249801

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On Knowledge Base Management Systems by Michael L. Brodie,John Mylopoulos Pdf

Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Knowledge Management and its Integrative Elements

Author : Jay Liebowitz,Lyle C. Wilcox
Publisher : CRC Press
Page : 224 pages
File Size : 49,8 Mb
Release : 1997-05-21
Category : Technology & Engineering
ISBN : 0849331161

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Knowledge Management and its Integrative Elements by Jay Liebowitz,Lyle C. Wilcox Pdf

Knowledge: In the realm of knowledge management, information plus wisdom equals knowledge. Organizations have found that the knowledge they contain can be one of their most important competitive weapons Definition: Knowledge management: The ability of an organization to manage, store, value, and distribute knowledge. Some organizations have created the position of Chief Knowledge Manager (CKM) to handle knowledge management responsibilities Many organizations fail to effectively manage and use the most important competitive edge they possess - their knowledge and "intellectual capital." This book covers the entire growing field of knowledge management, with particular emphasis on knowledge-based systems and their use in preserving knowledge in an organization, and integrating it across departments and disciplines. This hands-on guide shows how businesses and other organizations can re-engineer their processes using an applied knowledge-based approach. Each chapter introduces a different aspect of the field and demonstrates its application in actual case studies. Examples from industry, education, and government show the wide application of this exciting new field of study. The book also covers promising trends such as learning organizations, intelligent organizations, and enterprise management.

Knowledge-Based Systems

Author : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Learning
Page : 375 pages
File Size : 46,5 Mb
Release : 2010-08-30
Category : Computers
ISBN : 9780763776473

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Knowledge-Based Systems by Rajendra Akerkar,Priti Sajja Pdf

Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.

Current Trends in Semantic Web Technologies: Theory and Practice

Author : Giner Alor-Hernández,José Luis Sánchez-Cervantes,Alejandro Rodríguez-González,Rafael Valencia-García
Publisher : Springer
Page : 292 pages
File Size : 53,5 Mb
Release : 2019-01-17
Category : Technology & Engineering
ISBN : 9783030061494

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Current Trends in Semantic Web Technologies: Theory and Practice by Giner Alor-Hernández,José Luis Sánchez-Cervantes,Alejandro Rodríguez-González,Rafael Valencia-García Pdf

This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems.

Expert Systems

Author : Nikolopoulos
Publisher : CRC Press
Page : 353 pages
File Size : 53,5 Mb
Release : 1997-01-10
Category : Technology & Engineering
ISBN : 9781000064971

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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.

Development of Knowledge-Based Systems for Engineering

Author : Carlo Tasso,Edoardo R.de Arantes e Oliveira
Publisher : Springer
Page : 241 pages
File Size : 44,6 Mb
Release : 2014-05-04
Category : Technology & Engineering
ISBN : 9783709127841

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Development of Knowledge-Based Systems for Engineering by Carlo Tasso,Edoardo R.de Arantes e Oliveira Pdf

The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.

Knowledge-Based Systems for Multiple Environments

Author : Ladislav J. Kohout,John Anderson,Wyllis Bandler
Publisher : Routledge
Page : 382 pages
File Size : 43,7 Mb
Release : 2019-01-15
Category : Social Science
ISBN : 9780429761867

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Knowledge-Based Systems for Multiple Environments by Ladislav J. Kohout,John Anderson,Wyllis Bandler Pdf

First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results. Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here. This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole. While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.

Computer-based Medical Guidelines and Protocols: A Primer and Current Trends

Author : A. Ten Teije,S. Miksch,P. Lucas
Publisher : IOS Press
Page : 300 pages
File Size : 47,8 Mb
Release : 2008-07-24
Category : Medical
ISBN : 9781607503415

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Computer-based Medical Guidelines and Protocols: A Primer and Current Trends by A. Ten Teije,S. Miksch,P. Lucas Pdf

This book brings together results from different branches of computer science (in particular, artificial intelligence), medical informatics and medicine to examine cutting edge approaches to computer-based guideline modeling, verification and interpretation. Different methods have been developed to support the development, deployment, maintenance and use of evidence-based guidelines, using techniques from artificial intelligence, software engineering, medical informatics and formal methods. Such methods employ different representation formalisms and computational techniques. As the guideline-related research spans a wide range of research communities, a comprehensive integration of the results of these communities was lacking. It is the intention of this book to fill this gap. It is the first book of its kind that partially has the nature of a textbook. The book consists of two parts. The first part consists of nine chapters which together offer a comprehensive overview of the most important medical and computer-science aspects of clinical guidelines and protocols. The second part of the book consists of chapters that are extended versions of selected papers that were originally submitted to the ECAI-2006 workshop ‘AI Techniques in Health Care: Evidence-based Guidelines and Protocols’. These chapters will provide the reader detailed information about actual research in the area by leading researchers.

Handbook for Evaluating Knowledge-Based Systems

Author : Leonard Adelman,Sharon L. Riedel
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461561712

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Handbook for Evaluating Knowledge-Based Systems by Leonard Adelman,Sharon L. Riedel Pdf

Knowledge-based systems are increasingly found in a wide variety of settings and this handbook has been written to meet a specific need in their widening use. While there have been many successful applications of knowledge-based systems, some applications have failed because they never received the corrective feedback that evaluation provides for keeping development focused on the users' needs in their actual working environment. This handbook provides a conceptual framework and compendium of methods for performing evaluations of knowledge-based systems during their development. Its focus is on the users' and subject matter experts' evaluation of the usefulness of the system, and not on the developers' testing of the adequacy of the programming code. The handbook permits evaluators to systematically answer the following kinds of questions: Does the knowledge-based system meet the users' task requirements? Is the system easy to use? Is the knowledge base logically consistent? Does it meet the required level of expertise? Does the system improve performance? The authors have produced a handbook that will serve two audiences: a tool that can be used to create knowledge-based systems (practitioners, developers, and evaluators) and a framework that will stimulate more research in the area (academic researchers and students). To accomplish this, the handbook is built around a conceptual framework that integrates the different types of evaluations into the system of development process. The kinds of questions that can be answered, and the methods available for answering them, will change throughout the system development life cycle. And throughout this process, one needs to know what can be done, and what can't. It is this dichotomy that addresses needs in both the practitioner and academic research audiences.

Knowledge-Based Explorable Extended Reality Environments

Author : Jakub Flotyński
Publisher : Springer Nature
Page : 268 pages
File Size : 52,6 Mb
Release : 2020-12-07
Category : Computers
ISBN : 9783030599652

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Knowledge-Based Explorable Extended Reality Environments by Jakub Flotyński Pdf

This book presents explorable XR environments—their rationale, concept, architectures as well as methods and tools for spatial-temporal composition based on domain knowledge, including geometrical, presentational, structural and behavioral elements. Explorable XR environments enable monitoring, analyzing, comprehending, examining and controlling users’ and objects’ behavior and features as well as users’ skills, experience, interests and preferences. The E-XR approach proposed in this book relies on two main pillars. The first is knowledge representation technologies, such as logic programming, description logics and the semantic web, which permit automated reasoning and queries. The second is imperative programming languages, which are a prevalent solution for building XR environments. Potential applications of E-XR are in a variety of domains, e.g., education, training, medicine, design, tourism, marketing, merchandising, engineering and entertainment. The book’s readers will understand the emerging domain of explorable XR environments with their possible applications. Special attention is given to an in-depth discussion of the field with taxonomy and classification of the available related solutions. Examples and design patterns of knowledge-based composition and exploration of XR behavior are provided, and an extensive evaluation and analysis of the proposed approach is included. This book helps researchers in XR systems, 3D modeling tools and game engines as well as lecturers and students who search for clearly presented information supported by use cases. For XR and game programmers as well as graphic designers, the book is a valuable source of information and examples in XR development. Professional software and web developers may find the book interesting as the proposed ideas are illustrated by rich examples demonstrating design patterns and guidelines in object-oriented, procedural and declarative programming.

Knowledge Based Systems

Author : S. G. Tzafestas
Publisher : World Scientific
Page : 656 pages
File Size : 46,8 Mb
Release : 1997
Category : Computers
ISBN : 9810228309

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Knowledge Based Systems by S. G. Tzafestas Pdf

The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under uncertainty, conflict detection and resolution, structured knowledge architectures, and natural language-based man-machine communication.The Applications include: Real-time decision support, system fault diagnosis, quality assessment, manufacturing production, robotic assembly, and robotic welding.The reader can save considerable time in searching the scattered literature in the field, and can find here a powerful set of how-to-do issues and results.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Author : Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer Nature
Page : 779 pages
File Size : 40,7 Mb
Release : 2020-06-05
Category : Computers
ISBN : 9783030501464

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Intelligent knowledge based systems in electrical power engineering

Author : J.R. McDonald,Stephen McArthur,Graeme Burt,Jerry Zielinski
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461563877

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Intelligent knowledge based systems in electrical power engineering by J.R. McDonald,Stephen McArthur,Graeme Burt,Jerry Zielinski Pdf

Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.