Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 53,9 Mb
Release : 1991
Category : Artificial intelligence
ISBN : 1483207714
Principles of Semantic Networks
Anonim
Principles Of Semantic Networks
Principles Of Semantic Networks Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Principles Of Semantic Networks book. This book definitely worth reading, it is an incredibly well-written.
Principles of Semantic Networks
John Sowa
Author : John Sowa
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2014
Category : Electronic
ISBN : OCLC:1371785292
Principles of Semantic Networks by John Sowa Pdf
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
Principles of Semantic Networks
Alexander Borgida
Author : Alexander Borgida
Publisher : Morgan Kaufmann Publishers
Page : 616 pages
File Size : 48,5 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015021994127
Principles of Semantic Networks by Alexander Borgida Pdf
Principles of Semantic Networks
John F. Sowa
Author : John F. Sowa
Publisher : Morgan Kaufmann
Page : 594 pages
File Size : 41,8 Mb
Release : 2014-07-10
Category : Computers
ISBN : 9781483221144
Principles of Semantic Networks by John F. Sowa Pdf
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
Semantic Network Analysis in Social Sciences
Elad Segev
Author : Elad Segev
Publisher : Routledge
Page : 223 pages
File Size : 52,8 Mb
Release : 2021-11-29
Category : Psychology
ISBN : 9781000471915
Semantic Network Analysis in Social Sciences by Elad Segev Pdf
Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.
Associative Networks
Nicholas V. Findler
Author : Nicholas V. Findler
Publisher : Academic Press
Page : 481 pages
File Size : 47,7 Mb
Release : 2014-05-10
Category : Reference
ISBN : 9781483263014
Associative Networks by Nicholas V. Findler Pdf
Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.
Semantic Networks
Lokendra Shastri
Author : Lokendra Shastri
Publisher : Pitman Publishing
Page : 240 pages
File Size : 42,5 Mb
Release : 1988
Category : Computers
ISBN : UOM:39015013829497
Semantic Networks by Lokendra Shastri Pdf
Shastri’s book describes how a high-level specification of hierarchically structured knowledge about concepts and their properties may be encoded as a massively parallel network of a simple processing elements. The evidential formalization of semantic networks leads to a principled treatment of exceptions, multiple inheritance and conflicting information during inheritance, and the best match or partial match computation during recognition. This formalization offers semantically justifiable solutions to a larger class of problems than existing formulations (e.g. default logic). The network operates without the intervention of a central controller or interpreter. The knowledge as well as mechanisms for drawing limited inferences on it are encoded within the network. It uses controlled spreading activation to solve inheritance and recognition problems in time proportional to the depth of the conceptual hierarchy independent of the total number of concepts in the conceptual structure. The number of nodes in the connectionist network is at most quadratic in the number of concepts. The book has six chapters and one appendix. After the introduction in chapter 1 semantic networks their properties and formalizations are discussed in chapter 2. Especially the significance of inheritance and recognition and the evidential approach to it is pointed out here. Chapter 3 specifies a knowledge representation language. The problems of inheritance and recognition are reformulated in this language. In chapter 4 the evidential formalization and its application to inheritance and recognition are demonstrated. Section 4.1 derives an evidence combination rule. In the following two sections this rule is compared to the DEMPSTER-SHAFER evidence combination rule (section 4.2) and to the BAYES’ rule for computing conditional probabilities. The next two sections develop solutions to evidential inheritance (section 4.4) and evidential recognition (section 4.5) together with constraints for a conceptual structure. The connectionist realization of the memory network is developed in chapter 5. First the need for parallelism is discussed (section 5.1), then the connectionist model (section 5.2) and other massively parallel models of semantic memory (section 5.3) are reviewed. The connectionist encoding of the high-level specification is described in section 5.4 together with the connectivity and computational characteristics of node types. This is followed by examples of network encoding (section 5.5) and the elaboration of some implementation details (section 5.6). In section 5.7 and appendix A there is a proof that the proposed network solves the inheritance and recognition problem in accordance with the evidential formulation and in time proportional to the depth of the conceptual hierarchy. Section 5.8 describes the simulation of the proposed system on a conventional computer together with simulation runs of test examples often cited as being problematic. The book ends with a general discussion (chapter 6).
Semantic Networks in Artificial Intelligence
Fritz W. Lehmann,Ervin Y. Rodin
Author : Fritz W. Lehmann,Ervin Y. Rodin
Publisher : Pergamon
Page : 776 pages
File Size : 55,9 Mb
Release : 1992
Category : Artificial intelligence
ISBN : UOM:39015028445552
Semantic Networks in Artificial Intelligence by Fritz W. Lehmann,Ervin Y. Rodin Pdf
Hardbound. Semantic Networks are graphic structures used to represent concepts and knowledge in computers. Key uses include natural language understanding, information retrieval, machine vision, object-oriented analysis and dynamic control of combat aircraft. This major collection addresses every level of reader interested in the field of knowledge representation. Easy to read surveys of the main research families, most written by the founders, are followed by 25 widely varied articles on semantic networks and the conceptual structure of the world. Some extend ideas of philosopher Charles S Peirce 100 years ahead of his time. Others show connections to databases, lattice theory, semiotics, real-world ontology, graph-grammers, lexicography, relational algebras, property inheritance and semantic primitives. Hundreds of pictures show semantic networks as a visual language of thought.
Semantic Cognition
Timothy T. Rogers,James L. McClelland
Author : Timothy T. Rogers,James L. McClelland
Publisher : MIT Press
Page : 446 pages
File Size : 45,9 Mb
Release : 2004
Category : Computers
ISBN : 0262182394
Semantic Cognition by Timothy T. Rogers,James L. McClelland Pdf
A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.
The Oxford Handbook of Political Networks
Jennifer Nicoll Victor,Alexander H. Montgomery,Mark Lubell
Author : Jennifer Nicoll Victor,Alexander H. Montgomery,Mark Lubell
Publisher : Oxford University Press
Page : 1011 pages
File Size : 43,6 Mb
Release : 2018
Category : Political Science
ISBN : 9780190228217
The Oxford Handbook of Political Networks by Jennifer Nicoll Victor,Alexander H. Montgomery,Mark Lubell Pdf
Politics is intuitively about relationships, but until recently the network perspective has not been a dominant part of the methodological paradigm that political scientists use to study politics. This volume is a foundational statement about networks in the study of politics.
Semantic Relations and the Lexicon
M. Lynne Murphy
Author : M. Lynne Murphy
Publisher : Cambridge University Press
Page : 306 pages
File Size : 52,7 Mb
Release : 2003-10-02
Category : Language Arts & Disciplines
ISBN : 9781139437455
Semantic Relations and the Lexicon by M. Lynne Murphy Pdf
Semantic Relations and the Lexicon explores the many paradigmatic semantic relations between words, such as synonymy, antonymy and hyponymy, and their relevance to the mental organization of our vocabularies. Drawing on a century's research in linguistics, psychology, philosophy, anthropology and computer science, M. Lynne Murphy proposes a pragmatic approach to these relations. Whereas traditional approaches have claimed that paradigmatic relations are part of our lexical knowledge, Dr Murphy argues that they constitute metalinguistic knowledge, which can be derived through a single relational principle, and may also be stored as part of our extra-lexical, conceptual representations of a word. Part I shows how this approach can account for the properties of lexical relations in ways that traditional approaches cannot, and Part II examines particular relations in detail. This book will serve as an informative handbook for all linguists and cognitive scientists interested in the mental representation of vocabulary.
Semantic Network
Fouad Sabry
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 121 pages
File Size : 52,8 Mb
Release : 2023-06-26
Category : Computers
ISBN : PKEY:6610000470617
Semantic Network by Fouad Sabry Pdf
What Is Semantic Network A knowledge base that depicts the semantic relations that exist between concepts in a network is known as a semantic network, also known as a frame network. This is a form of knowledge representation that is frequently put to use. It can be either directed or undirected and consists of vertices, which represent concepts, and edges, which reflect semantic relations between concepts, mapping or linking semantic fields. Vertices are used to represent concepts. Edges represent semantic interactions. A semantic network can be "instantiated" in a variety of different ways, such as a concept map or a graph database. Semantic triples are the typical way that typical standardized semantic networks are expressed. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Semantic Network Chapter 2: Knowledge Representation and Reasoning Chapter 3: Semantic Web Chapter 4: Ontology (Computer Science) Chapter 5: John F. Sowa Chapter 6: Conceptual Graph Chapter 7: Semantic Similarity Chapter 8: Semantic Research Chapter 9: Semantic Data Model Chapter 10: Knowledge Graph (II) Answering the public top questions about semantic network. (III) Real world examples for the usage of semantic network in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of semantic network' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of semantic network.
The Principles of Deep Learning Theory
Daniel A. Roberts,Sho Yaida,Boris Hanin
Author : Daniel A. Roberts,Sho Yaida,Boris Hanin
Publisher : Cambridge University Press
Page : 473 pages
File Size : 41,6 Mb
Release : 2022-05-26
Category : Computers
ISBN : 9781316519332
The Principles of Deep Learning Theory by Daniel A. Roberts,Sho Yaida,Boris Hanin Pdf
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
The Knowledge Frontier
Nick Cercone,Gordon McCalla
Author : Nick Cercone,Gordon McCalla
Publisher : Springer Science & Business Media
Page : 558 pages
File Size : 51,5 Mb
Release : 1987-10-05
Category : Computers
ISBN : 0387965572
The Knowledge Frontier by Nick Cercone,Gordon McCalla Pdf
Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.
Society in Language, Language in Society
Wendy L. Bowcher,Jennifer Yameng Liang
Author : Wendy L. Bowcher,Jennifer Yameng Liang
Publisher : Springer
Page : 452 pages
File Size : 47,5 Mb
Release : 2016-01-26
Category : Language Arts & Disciplines
ISBN : 9781137402868
Society in Language, Language in Society by Wendy L. Bowcher,Jennifer Yameng Liang Pdf
This collection of original articles covers a range of research connecting with the work of the eminent linguist Ruqaiya Hasan. It contains contributions from M.A.K. Halliday, G. Williams, D. Butt, D. Miller and M. Berry among others, an interview with Ruqaiya Hasan, and notes from the contributors about their connection with Ruqaiya Hasan's work.
