Data Knowledge Engineering

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Data Visualization and Knowledge Engineering

Author : Jude Hemanth,Madhulika Bhatia,Oana Geman
Publisher : Springer
Page : 319 pages
File Size : 43,9 Mb
Release : 2019-08-09
Category : Technology & Engineering
ISBN : 9783030257972

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Data Visualization and Knowledge Engineering by Jude Hemanth,Madhulika Bhatia,Oana Geman Pdf

This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human–machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.

An Introduction to Knowledge Engineering

Author : Simon Kendal,Malcolm Creen
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 42,5 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

DATA KNOWLEDGE ENGINEERING

Author : Anonim
Publisher : Unknown
Page : 538 pages
File Size : 40,6 Mb
Release : 1996
Category : Electronic
ISBN : 8210379456XXX

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DATA KNOWLEDGE ENGINEERING by Anonim Pdf

From Data and Information Analysis to Knowledge Engineering

Author : Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 780 pages
File Size : 47,7 Mb
Release : 2006-04-20
Category : Language Arts & Disciplines
ISBN : 9783540313144

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From Data and Information Analysis to Knowledge Engineering by Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul Pdf

This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

Knowledge Engineering for Modern Information Systems

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 : 54,8 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.

Knowledge Engineering

Author : John Debenham
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 44,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642720345

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Knowledge Engineering by John Debenham Pdf

A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems

Knowledge Management and Engineering with Decisional DNA

Author : Edward Szczerbicki,Cesar Sanin
Publisher : Springer Nature
Page : 262 pages
File Size : 49,8 Mb
Release : 2020-02-04
Category : Technology & Engineering
ISBN : 9783030396015

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Knowledge Management and Engineering with Decisional DNA by Edward Szczerbicki,Cesar Sanin Pdf

This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.

Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 44,5 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613

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Knowledge Engineering Tools and Techniques for AI Planning by Mauro Vallati,Diane Kitchin Pdf

This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.

Software Prototyping in Data and Knowledge Engineering

Author : G. Guida,G. Lamperti,Marina Zanella
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 52,6 Mb
Release : 2013-03-07
Category : Computers
ISBN : 9789401142670

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Software Prototyping in Data and Knowledge Engineering by G. Guida,G. Lamperti,Marina Zanella Pdf

This monograph describes an innovative prototyping framework for data and knowledge intensive systems. The proposed approach will prove especially useful for advanced and research-oriented projects that aim to develop a traditional database perspective into fully-fledged advanced database approaches and knowledge engineering technologies. The book is organised in two parts. The first part, comprising chapters 1 to 4, provides an introduction to the concept of prototyping, to database and knowledge-based technologies, and to the main issues involved in the integration of data and knowledge engineering. The second part, comprising chapters 5 to 12, illustrates the proposed approach in technical detail. Audience: This volume will be of interest to researchers in the field of databases and knowledge engineering in general, and for software designers and knowledge engineers who aim to expand their expertise in data and knowledge intensive systems.

Networking Communication and Data Knowledge Engineering

Author : Gregorio Martinez Perez,Krishn K. Mishra,Shailesh Tiwari,Munesh C. Trivedi
Publisher : Springer
Page : 262 pages
File Size : 48,7 Mb
Release : 2017-11-02
Category : Technology & Engineering
ISBN : 9789811046001

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Networking Communication and Data Knowledge Engineering by Gregorio Martinez Perez,Krishn K. Mishra,Shailesh Tiwari,Munesh C. Trivedi Pdf

Data science, data engineering and knowledge engineering requires networking and communication as a backbone and have wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Recent Advancement in Computer, Communication and Computational Sciences (ICRACCCS 2016)’, held at Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India, during 25–26 November 2016. The volume covers variety of topics such as Advanced Communication Networks, Artificial Intelligence and Evolutionary Algorithms, Advanced Software Engineering and Cloud Computing, Image Processing and Computer Vision, and Security. The book will help the perspective readers from computer industry and academia to derive the advances of next generation communication and computational technology and shape them into real life applications.

Knowledge Engineering

Author : John Debenham
Publisher : Unknown
Page : 484 pages
File Size : 48,7 Mb
Release : 1998-04-08
Category : Electronic
ISBN : 3642720358

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Knowledge Engineering by John Debenham Pdf

Networking Communication and Data Knowledge Engineering

Author : Gregorio Martinez Perez,Krishn K. Mishra,Shailesh Tiwari,Munesh C. Trivedi
Publisher : Springer
Page : 312 pages
File Size : 42,6 Mb
Release : 2017-11-13
Category : Technology & Engineering
ISBN : 9789811045851

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Networking Communication and Data Knowledge Engineering by Gregorio Martinez Perez,Krishn K. Mishra,Shailesh Tiwari,Munesh C. Trivedi Pdf

Data science, data engineering and knowledge engineering requires networking and communication as a backbone and have wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Recent Advancement in Computer, Communication and Computational Sciences (ICRACCCS 2016)’, held at Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India, during 25–26 November 2016. The volume covers variety of topics such as Advanced Communication Networks, Artificial Intelligence and Evolutionary Algorithms, Advanced Software Engineering and Cloud Computing, Image Processing and Computer Vision, and Security. The book will help the perspective readers from computer industry and academia to derive the advances of next generation communication and computational technology and shape them into real life applications.

Data Science and Knowledge Engineering for Sensing Decision Support

Author : Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E. Kerre
Publisher : World Scientific Proceedings C
Page : 0 pages
File Size : 44,5 Mb
Release : 2018
Category : Computers
ISBN : 9813273224

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Data Science and Knowledge Engineering for Sensing Decision Support by Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E. Kerre Pdf

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.