Principles of Semantic Networks

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 1483221148
Total Pages : 594 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Principles of Semantic Networks by : John F. Sowa

Download or read book Principles of Semantic Networks written by John F. Sowa and published by Morgan Kaufmann. This book was released on 2014-07-10 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
Publisher : Pergamon
ISBN 13 :
Total Pages : 776 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Semantic Networks in Artificial Intelligence by : Fritz W. Lehmann

Download or read book Semantic Networks in Artificial Intelligence written by Fritz W. Lehmann and published by Pergamon. This book was released on 1992 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Network Analysis in Social Sciences

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Publisher : Routledge
ISBN 13 : 1000471918
Total Pages : 223 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Semantic Network Analysis in Social Sciences by : Elad Segev

Download or read book Semantic Network Analysis in Social Sciences written by Elad Segev and published by Routledge. This book was released on 2021-11-29 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Complex Network Analysis in Python

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Publisher : Pragmatic Bookshelf
ISBN 13 : 1680505408
Total Pages : 343 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis Complex Network Analysis in Python by : Dmitry Zinoviev

Download or read book Complex Network Analysis in Python written by Dmitry Zinoviev and published by Pragmatic Bookshelf. This book was released on 2018-01-19 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.

EuroWordNet: A multilingual database with lexical semantic networks

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9401714916
Total Pages : 180 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis EuroWordNet: A multilingual database with lexical semantic networks by : Piek Vossen

Download or read book EuroWordNet: A multilingual database with lexical semantic networks written by Piek Vossen and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the main objective of EuroWordNet, which is the building of a multilingual database with lexical semantic networks or wordnets for several European languages. Each wordnet in the database represents a language-specific structure due to the unique lexicalization of concepts in languages. The concepts are inter-linked via a separate Inter-Lingual-Index, where equivalent concepts across languages should share the same index item. The flexible multilingual design of the database makes it possible to compare the lexicalizations and semantic structures, revealing answers to fundamental linguistic and philosophical questions which could never be answered before. How consistent are lexical semantic networks across languages, what are the language-specific differences of these networks, is there a language-universal ontology, how much information can be shared across languages? First attempts to answer these questions are given in the form of a set of shared or common Base Concepts that has been derived from the separate wordnets and their classification by a language-neutral top-ontology. These Base Concepts play a fundamental role in several wordnets. Nevertheless, the database may also serve many practical needs with respect to (cross-language) information retrieval, machine translation tools, language generation tools and language learning tools, which are discussed in the final chapter. The book offers an excellent introduction to the EuroWordNet project for scholars in the field and raises many issues that set the directions for further research in semantics and knowledge engineering.

Semantic Networks for Understanding Scenes

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Publisher : Springer Science & Business Media
ISBN 13 : 1489919139
Total Pages : 507 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Semantic Networks for Understanding Scenes by : Gerhard Sagerer

Download or read book Semantic Networks for Understanding Scenes written by Gerhard Sagerer and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Associative Networks

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Publisher : Academic Press
ISBN 13 : 1483263010
Total Pages : 480 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Associative Networks by : Nicholas V. Findler

Download or read book Associative Networks written by Nicholas V. Findler and published by Academic Press. This book was released on 2014-05-10 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Network

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Author :
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 121 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Semantic Network by : Fouad Sabry

Download or read book Semantic Network written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-26 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Social Networks and the Semantic Web

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Publisher : Springer Science & Business Media
ISBN 13 : 0387710019
Total Pages : 237 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Social Networks and the Semantic Web by : Peter Mika

Download or read book Social Networks and the Semantic Web written by Peter Mika and published by Springer Science & Business Media. This book was released on 2007-10-23 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.

Representation and Understanding

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Publisher : Elsevier
ISBN 13 : 1483299155
Total Pages : 427 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Representation and Understanding by : Jerry Bobrow

Download or read book Representation and Understanding written by Jerry Bobrow and published by Elsevier. This book was released on 2014-06-28 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation and Understanding

Principles of Semantic Networks

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Principles of Semantic Networks by : John Sowa

Download or read book Principles of Semantic Networks written by John Sowa and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Pitman Publishing
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Semantic Networks by : Lokendra Shastri

Download or read book Semantic Networks written by Lokendra Shastri and published by Pitman Publishing. This book was released on 1988 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Concise Encyclopedia of Robotics

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Author :
Publisher : McGraw Hill Professional
ISBN 13 : 9780071410106
Total Pages : 392 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Concise Encyclopedia of Robotics by : Gibilisco

Download or read book Concise Encyclopedia of Robotics written by Gibilisco and published by McGraw Hill Professional. This book was released on 2002-11-12 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: * The perfect way to keep up with the mountain of new terms and techniques facing today's hobbyist * A clearinghouse of information for hobbyists and students interested in robotics, artificial intelligence, and electronics * 400 definitions--all presented in concise, well-illustrated, non-mathematical style favored by amateur hobbyists * Covers the latest developments and trends with an eye towards the future

Semantic Grid: Model, Methodology, and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540794549
Total Pages : 244 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Semantic Grid: Model, Methodology, and Applications by : Zhaohui Wu

Download or read book Semantic Grid: Model, Methodology, and Applications written by Zhaohui Wu and published by Springer Science & Business Media. This book was released on 2008-11-16 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic Grid: Model, Methodology, and Applications introduces to the science, core technologies, and killer applications. First, scientific issues of semantic grid systems are covered, followed by two basic technical issues, data-level semantic mapping, and service-level semantic interoperating. Two killer applications are then introduced to show how to build a semantic grid for specific application domains. Although this book is organized in a step by step manner, each chapter is independent. Detailed application scenarios are also presented. In 1990, Prof. Wu invented the first KB-system tool, ZIPE, based on C on a SUN platform. He proposed the first coupling knowledge representing model, Couplingua, which embodies Rule, Frame, Semantic Network and Nerve Cell Network, and supports symbol computing and data processing computing. His current focus is on semantic web, grid & ubiquitous computing, and their applications in the life sciences.

Complex Networks & Their Applications IX

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Publisher : Springer Nature
ISBN 13 : 3030653471
Total Pages : 702 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Complex Networks & Their Applications IX by : Rosa M. Benito

Download or read book Complex Networks & Their Applications IX written by Rosa M. Benito and published by Springer Nature. This book was released on 2020-12-19 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

VIVO

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Publisher : Springer Nature
ISBN 13 : 3031794354
Total Pages : 160 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis VIVO by : Katy Borner

Download or read book VIVO written by Katy Borner and published by Springer Nature. This book was released on 2022-05-31 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of scholarship is changing rapidly. Increasing demands on scholars, the growing size and complexity of questions and problems to be addressed, and advances in sophistication of data collection, analysis, and presentation require new approaches to scholarship. A ubiquitous, open information infrastructure for scholarship, consisting of linked open data, open-source software tools, and a community committed to sustainability are emerging to meet the needs of scholars today. This book provides an introduction to VIVO, http://vivoweb.org/, a tool for representing information about research and researchers -- their scholarly works, research interests, and organizational relationships. VIVO provides an expressive ontology, tools for managing the ontology, and a platform for using the ontology to create and manage linked open data for scholarship and discovery. Begun as a project at Cornell and further developed by an NIH funded consortium, VIVO is now being established as an open-source project with community participation from around the world. By the end of 2012, over 20 countries and 50 organizations will provide information in VIVO format on more than one million researchers and research staff, including publications, research resources, events, funding, courses taught, and other scholarly activity. The rapid growth of VIVO and of VIVO-compatible data sources speaks to the fundamental need to transform scholarship for the 21st century. Table of Contents: Scholarly Networking Needs and Desires / The VIVO Ontology / Implementing VIVO and Filling It with Life / Case Study: University of Colorado at Boulder / Case Study: Weill Cornell Medical College / Extending VIVO / Analyzing and Visualizing VIVO Data / The Future of VIVO: Growing the Community

Semantic Matchmaking with Nonmonotonic Description Logics

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Author :
Publisher : IOS Press
ISBN 13 : 1614993351
Total Pages : 278 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Semantic Matchmaking with Nonmonotonic Description Logics by : S. Grimm

Download or read book Semantic Matchmaking with Nonmonotonic Description Logics written by S. Grimm and published by IOS Press. This book was released on 2009-05-20 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic web has grown into a mature field of research. Its methods find innovative applications on and off the World Wide Web. Its underlying technologies have significant impact on adjacent fields of research and on industrial applications. This new book series reports on the state-of-the-art in foundations, methods, and applications of semantic web and its underlying technologies. It is a central forum for the communication of recent developments and comprises research monographs, textbooks and edited volumes on all topics related to the semantic web. In this first volume several non-monotonic extensions to description logics (DLs) are investigated, namely auto-epistemic DLs, circumscriptive DLs and terminological default rules, all of which extend standard DL inference mechanisms by forms of closed-world and default reasoning associated to common-sense features. A matchmaking framework is established for semantic resource descriptions formulated in the DL formalism that uses various DL inferences to judge resource compatibility. Special emphasis lies on mapping the technical formalities of model-theoretic semantics of DLs to more intuitive notions that abstract from the details of logic for the framework’s easier adoption in applications. The particular contributions of Semantic Matchmaking with Nonmonotonic Description Logics span the fields of non-monotonic reasoning with description logics in artificial intelligence, matchmaking of ontology-based descriptions and semantic web service discovery. A novel tableaux calculus for reasoning in circumscriptive DLs is introduced and it is demonstrated how the various nonmonotonic extensions to description logics can be used to realize common-sense features and local closed-world reasoning in a semantic web setting in general.