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Knowledge Representation And Relation Nets
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Book Synopsis Knowledge Representation and Relation Nets by : Aletta E. Geldenhuys
Download or read book Knowledge Representation and Relation Nets written by Aletta E. Geldenhuys and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Representation and Relation Nets introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. The method extends and formalizes concept mapping by developing knowledge representation as a structure of concepts and the relationships among them. Such a formal description of analogy results in a controlled method of modeling `new' knowledge in terms of `existing' knowledge in teaching and learning situations, and its applications result in a consistent and well-organized approach to problem solving. Additionally, strategies for the presentation of study material to learners arise naturally in this representation. While the theory of relation nets is dealt with in detail in part of this book, the reader need not master the formal mathematics in order to apply the theory to this method of knowledge representation. To assist the reader, each chapter starts with a brief summary, and the main ideas are illustrated by examples. The reader is also given an intuitive view of the formal notions used in the applications by means of diagrams, informal descriptions, and simple sets of construction rules. Knowledge Representation and Relation Nets is an excellent source for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of education, and structural modeling.
Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman
Download or read book Knowledge Representation and Reasoning written by Ronald Brachman and published by Morgan Kaufmann. This book was released on 2004-05-19 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
Book Synopsis Handbook of Research on Computational Intelligence Applications in Bioinformatics by : Dash, Sujata
Download or read book Handbook of Research on Computational Intelligence Applications in Bioinformatics written by Dash, Sujata and published by IGI Global. This book was released on 2016-06-20 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.
Book Synopsis Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning by : Hua Shi
Download or read book Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning written by Hua Shi and published by Springer Nature. This book was released on 2023-10-23 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides valuable knowledge, useful fuzzy Petri nets (FPN) models, and practical examples that can be considered by mangers in supporting knowledge management of organizations to increase and sustain their competitive advantages. In this book, the authors proposed various improved FPN models to enhance the modeling power and applicability of FPNs in knowledge representation and reasoning. This book is useful for practitioners and researchers working in the fields of knowledge management, operation management, information science, industrial engineering, and management science. It can also be used as a textbook for postgraduate and senior undergraduate students.
Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Madalina Croitoru
Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2014-01-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.
Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Book Synopsis Dynamic Knowledge Representation in Scientific Domains by : Pshenichny, Cyril
Download or read book Dynamic Knowledge Representation in Scientific Domains written by Pshenichny, Cyril and published by IGI Global. This book was released on 2018-03-16 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main approach to understanding and creating knowledge engineering concepts is static knowledge. Currently, there is a need to approach knowledge through a dynamic lens and address changing relations on an elaborated syntactic and semantic basis. Dynamic Knowledge Representation in Scientific Domains provides emerging research on the internal and external changes in knowledge within various subject areas and their visual representations. While highlighting topics such as behavior diagrams, distribution analysis, and qualitative modeling, this publication explores the structural development and assessment of knowledge models. This book is an important resource for academicians, researchers, students, and practitioners seeking current research on information visualization in order to foster research and collaboration.
Book Synopsis Knowledge Representation by : T.J.M. Bench-Capon
Download or read book Knowledge Representation written by T.J.M. Bench-Capon and published by Elsevier. This book was released on 2014-06-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****This text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text.
Book Synopsis Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning by : Ronald J. Brachman
Download or read book Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning written by Ronald J. Brachman and published by Morgan Kaufmann Publishers. This book was released on 1989 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings held May 1989. Topics include temporal logic, hierarchical knowledge bases, default theories, nonmonotonic and analogical reasoning, formal theories of belief revision, and metareasoning. Annotation copyright Book News, Inc. Portland, Or.
Book Synopsis Knowledge Representation and Defeasible Reasoning by : Henry E. Kyburg Jr.
Download or read book Knowledge Representation and Defeasible Reasoning written by Henry E. Kyburg Jr. and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) ani mal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psy chology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelli gence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also ap pear from time to time. The present volume provides a collection of studies that focus on some of the central problems within the domain of artificial intelligence. These difficulties fall into four principal areas: defeasible reasoning (including the frame problem as apart), ordinary language (and the representation prob lems that it generates), the revision of beliefs (and its rules of inference), and knowledge representation (and the logical problems that are encountered there). These papers make original contributions to each of these areas of inquiry and should be of special interest to those who understand the crucial role that is played by questions of logical form. They vividly illustrate the benefits that can emerge from collaborative efforts involving scholars from linguistics, philosophy, computer science, and AI. J. H. F.
Book Synopsis 7th Int. Conf. Industrial & En by : Frank D. Anger
Download or read book 7th Int. Conf. Industrial & En written by Frank D. Anger and published by CRC Press. This book was released on 1994-05-23 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information Modelling and Knowledge Bases IX by : Pierre-Jean Charrel
Download or read book Information Modelling and Knowledge Bases IX written by Pierre-Jean Charrel and published by IOS Press. This book was released on 1998 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information modelling is the essential part of information system design. Design methods, specification languages, and tools tend to become application dependent, aiming at integration of methodologies stretching traditional database design to advanced knowledge bases, and including use of logical languages, and process oriented system description. The topics of the articles in this book cover a wide variety of themes in the domain of information modelling, specifications of information systems and knowledge bases, ranging from foundations and theories to systems construction and application studies. The contributions represent the following major themes: the use of ontologies in knowledge modelling concept modelling and conceptual modelling database modelling: applications of object-oriented modelling view integration and consistency checking modelling multimedia and multimedia models design methods process modelling formal systems.
Book Synopsis Legal Knowledge Representation:Automatic Text Analysis in Public International and European Law by : Erich Schweighofer
Download or read book Legal Knowledge Representation:Automatic Text Analysis in Public International and European Law written by Erich Schweighofer and published by Kluwer Law International B.V.. This book was released on 1999-10-19 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a presentation of all methods of legal knowledge representation from the point of view of jurisprudence as well as computer science. A new method of automatic analysis of legal texts is presented in four case studies. Law is seen as an information system with legally formalised information processes. The achieved coverage of legal knowledge in information retrieval systems has to be followed by the next step: conceptual indexing and automatic analysis of texts. Existing approaches of automatic knowledge representations do not have a proper link to the legal language in information systems. The concept-based model for semi-automatic analysis of legal texts provides this necessary connection. The knowledge base of descriptors, context-sensitive rules and meta-rules formalises properly all important passages in the text corpora for automatic analysis. Statistics and self-organising maps give assistance in knowledge acquisition. The result of the analysis is organised with automatically generated hypertext links. Four case studies show the huge potential but also some drawbacks of this approach.
Book Synopsis Relations in Knowledge Representation by : Keśavacandra Dāśa
Download or read book Relations in Knowledge Representation written by Keśavacandra Dāśa and published by . This book was released on 1991 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence by : Rajiv Chopra
Download or read book Artificial Intelligence written by Rajiv Chopra and published by S. Chand Publishing. This book was released on 2012 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the students of B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)
Book Synopsis Mining of Data with Complex Structures by : Fedja Hadzic
Download or read book Mining of Data with Complex Structures written by Fedja Hadzic and published by Springer Science & Business Media. This book was released on 2011-01-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining of Data with Complex Structures: - Clarifies the type and nature of data with complex structure including sequences, trees and graphs - Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining. - Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints. - Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.) - Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees. - Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees. - Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach. - Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies. - Details the extension of the TMG framework for sequence mining - Provides an overview of the future research direction with respect to technical extensions and application areas The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains.
Book Synopsis Advances In Chinese Computer Science, Vol 3 by : Kongshi Xu
Download or read book Advances In Chinese Computer Science, Vol 3 written by Kongshi Xu and published by World Scientific. This book was released on 1991-03-30 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:The Axiom System ACG and the Proof of Consistency of the Systems QM and ZF# (J W Zhang)Log C: A Language and Environment for AI Programming (Y L Feng)From “What” to “How” (J F Xu et al.)Weak Mutation Method of Software Testing and Relational Test Data (R J Zheng & F Jiang)Can Logic Programming Be Liberated from FOL? Foundations of a High Order Rule Language (Q M Chen)The Experiment on 2-D EAG Method for the Recognitions of Hand-Printed Chinese Characters (M Zhao)A Set of Parallel Algorithms for Calculating FFT Based on Multiple Vector Systems (D F Zhang & L Sheng)Knowledge Representation by Petri Nets (C Lin & W M Lu)Limited Error-Propagation, Self-Synchronization and Finite Input Memory FSMs as Weak Inverses (F Bao)The Knowledge Processing of CONBES (R Q Lu & C G Cao)CS: The Communication Sub-System of C-Porel (J L Xu & L X Zhou)Study on the Efficiency Improvement of Knowledge Base Management Systems (L Z Zhou & Z P Fan) Readership: Computer scientists.
