Semantic Networks
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Principles Of Semantic Networks
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Author : John F. Sowa
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-07-10
Principles Of Semantic Networks written by John F. Sowa and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with Computers categories.
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 Networks In Artificial Intelligence
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Author : Fritz W. Lehmann
language : en
Publisher: Pergamon
Release Date : 1992
Semantic Networks In Artificial Intelligence written by Fritz W. Lehmann and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
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 Networks For Understanding Scenes
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Author : Gerhard Sagerer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Semantic Networks For Understanding Scenes written by Gerhard Sagerer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.
Figure 1.1. An outdoor scene "A bus is passing three cars which are parking between trees at the side of the road. Houses having two storeys are lined up at the street. 3 4 Introduction Figure 1.2. An assembly scene There seems to be a small open place between the group of houses in the foreground and the store in the background". In such or a similar way the content of the natural scene shown above can be described. It is quite easy to give such a short description. The problem is somewhat more complex for the second image. First of all, it can be stated that the image does not show an everyday scene. It appears as a kind of man made surrounding. But everyone can accept the following statements about this image: 1. The image shows a snapshot of an assembly line. 2. The robot in front is screwing. 3. There is no person in the working area of the robots. 4. All objects on the conveyor belt are worked on by robots. There are no free objects on the belt.
Principles Of Semantic Networks
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Author : John Sowa
language : en
Publisher:
Release Date : 2014
Principles Of Semantic Networks written by John Sowa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
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.
Models Of Computing In Semantic Networks
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Author : Marko A. Rodriguez
language : en
Publisher:
Release Date : 2007
Models Of Computing In Semantic Networks written by Marko A. Rodriguez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Utilizing Semantic Networks To Database And Retrieve Generalized Stochastic Colored Petri Nets
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Author : Jeffrey J. Farah
language : en
Publisher:
Release Date : 1992
Utilizing Semantic Networks To Database And Retrieve Generalized Stochastic Colored Petri Nets written by Jeffrey J. Farah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Semantic Network Analysis
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Author : Wouter van Atteveldt
language : en
Publisher:
Release Date : 2008
Semantic Network Analysis written by Wouter van Atteveldt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Social Science categories.
This books describes a number of techniques that have been developed to facilitate Semantic Network Analysis. It describes techniques to automatically extract networks using co-occurrence, grammatical analysis, and sentiment analysis using machine learning. Additionally, it describes techniques to represent the extracted semantic networks and background knowledge about the actors and issues in the network, using Semantic Web techniques to deal with multiple issue categorisations and political roles and functions that shift over time. It shows how this combined network of message content and background knowledge can be queried and visualized to make it easy to answer a variety of research questions. Finally, this book describes the AmCAT infrastructure and iNet coding program for that have been developed to facilitate managing large automatic and manual content analysis projects.
The Effects Of A Hypertext Semantic Network Representation On Learning In Interactive Multimedia
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Author : Ronald W. Hess
language : en
Publisher:
Release Date : 1989
The Effects Of A Hypertext Semantic Network Representation On Learning In Interactive Multimedia written by Ronald W. Hess and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Semantic Networks
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Author : Lokendra Shastri
language : en
Publisher: Pitman Publishing
Release Date : 1988
Semantic Networks written by Lokendra Shastri and has been published by Pitman Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.
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).
Current Trends In Sneps Semantic Network Processing System
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Author :
language : en
Publisher: Springer
Release Date : 1990
Current Trends In Sneps Semantic Network Processing System written by and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
"SNePS is a state-of-the-art knowledge representation and reasoning system used for artificial intelligence and cognitive science research. It is a semantic network based system designed by the members of the SNePS Research Group. The First Annual SNePS Workshop was held on November 13, 1989, at the State University of New York at Buffalo. The aims of the workshop were to bring together researchers in AI working with or interested in SNePS. Twelve papers were presented by people from seven different research sites in the United States and abroad. The papers are of top quality and cover areas of ongoing research displaying the versatility of SNePS as an AI research tool. This volume contains all twelve papers."--Publisher's website.