Data And Knowledge Engineering

Author : Jude Hemanth,Madhulika Bhatia,Oana Geman
Publisher : Springer
Page : 319 pages
File Size : 53,6 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.

Author : John Debenham
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 41,8 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

Author : Gerardus Blokdyk
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 0655136460

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Data and Knowledge Engineering The Ultimate Step-By-Step Guide by Gerardus Blokdyk Pdf

Author : Edward Szczerbicki,Cesar Sanin
Publisher : Springer Nature
Page : 262 pages
File Size : 45,6 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.

Author : Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 780 pages
File Size : 44,8 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.

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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 : 50,9 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 : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 47,9 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.

Author : Yang Xiang,Mukaddim Pathan,Xiaohui Tao,Hua Wang
Publisher : Springer
Page : 260 pages
File Size : 48,9 Mb
Release : 2012-10-31
Category : Computers
ISBN : 9783642346798

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Data and Knowledge Engineering by Yang Xiang,Mukaddim Pathan,Xiaohui Tao,Hua Wang Pdf

This book constitutes the refereed proceedings of the International Conference on Data and Knowledge Engineering, ICDKE 2012, held in Wuyishan, Fujian, China, in November 2012. The conference was co-located with the 6th International Conference on Network and System Security, NSS 2012. The 13 revised full papers of ICDKE 2012 were carefully reviewed and selected from 53 submissions. The papers cover the following topics: artificial intelligence and data engineering; knowledge discovery and data management; information extraction and retrieval and data security.

Author : G. Guida,G. Lamperti,Marina Zanella
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 45,5 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.

Author : Ashok N. Srivastava,Jiawei Han
Publisher : CRC Press
Page : 489 pages
File Size : 42,7 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439841792

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management by Ashok N. Srivastava,Jiawei Han Pdf

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Author : Anonim
Publisher : Unknown
Page : 538 pages
File Size : 44,6 Mb
Release : 1996
Category : Electronic
ISBN : 8210379456XXX

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DATA KNOWLEDGE ENGINEERING by Anonim Pdf

Author : Gerard Blokdyk
Publisher : Createspace Independent Publishing Platform
Page : 140 pages
File Size : 54,6 Mb
Release : 2018-06-06
Category : Electronic
ISBN : 1720475237

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Data & Knowledge Engineering by Gerard Blokdyk Pdf

What will drive Data & Knowledge Engineering change? What are the long-term Data & Knowledge Engineering goals? Who is the Data & Knowledge Engineering process owner? Will Data & Knowledge Engineering deliverables need to be tested and, if so, by whom? What are the expected benefits of Data & Knowledge Engineering to the business? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data & Knowledge Engineering investments work better. This Data & Knowledge Engineering All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data & Knowledge Engineering Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data & Knowledge Engineering improvements can be made. In using the questions you will be better able to: - diagnose Data & Knowledge Engineering projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data & Knowledge Engineering and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data & Knowledge Engineering Scorecard, you will develop a clear picture of which Data & Knowledge Engineering areas need attention. Your purchase includes access details to the Data & Knowledge Engineering self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Author : Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
Publisher : World Scientific
Page : 1624 pages
File Size : 43,6 Mb
Release : 2018-07-26
Category : Computers
ISBN : 9789813273245

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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.

Author : Guus Schreiber
Publisher : MIT Press
Page : 476 pages
File Size : 43,5 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.