The Lexicon Graph Model
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The Lexicon Graph Model
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Author : Thorsten Trippel
language : en
Publisher: AQ-Verlag
Release Date : 2006
The Lexicon Graph Model written by Thorsten Trippel and has been published by AQ-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Towards A Multifunctional Lexical Resource
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Author : Dennis Spohr
language : en
Publisher: Walter de Gruyter
Release Date : 2012-01-27
Towards A Multifunctional Lexical Resource written by Dennis Spohr and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-27 with Language Arts & Disciplines categories.
What are the principles according to which lexical data should be represented in order to form a lexical database that can serve as a basis for the construction of several different monofunctional dictionaries? Starting from the notion of lexicographic functions as defined by Henning Bergenholtz and Sven Tarp, this question is approached by analysing how current electronic dictionaries and lexical resource models attempt to satisfy the needs of different types of users in different usage situations, in order to identify general requirements on the model for a lexical resource that aims to be “multifunctional” in the above sense. Based on this analysis, this book explores the use of formalisms developed in the context of the semantic web to approach both general and specific lexicographic questions, in particular the representation of multi-word expressions and their properties and relations. In doing so, this book not only addresses several topics which are of relevance to lexicographers and computational linguists alike, but also supports its claims by providing a prototypical implementation of a multifunctional lexical resource using semantic web formalisms.
A Dynamic Graph Model For Representing Streaming Text Documents
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Author : Elizabeth Leeds Hohman
language : en
Publisher:
Release Date : 2008
A Dynamic Graph Model For Representing Streaming Text Documents written by Elizabeth Leeds Hohman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.
This work presents new techniques for representing an evolving stream of text documents. Text processing is traditionally performed on a fixed corpus of documents by representing the documents as vectors in a high-dimensional space with each dimension corresponding to a different word in the lexicon. The lexicon is formed by the set of unique words in the corpus. The vector entries are equal to the counts of the word in the document and often weighted by the inverse of the probability of the corresponding word occurring in a document. The probability of word occurrence, also called the document frequency, is needed in order to create document vectors which emphasize the informative words in each document. In order to apply statistical text processing techniques to a changing corpus of documents, a generalization of the vector space model is introduced. The generalization relies on managing a changing lexicon of words and approximating the probability of word occurrence over documents in the document stream. The methods presented here can be used to represent any new document as a vector, including documents that contain words that have not been seen previously in the document stream. Additionally, this work presents a graph model for representing a dynamic corpus of text documents. The graph model differs from other methods for text clustering which act on a fixed corpus of documents. The vertices in the graph represent topics and evolve as the document stream changes. The vertices contain statistics on documents of a similar topic. Each vertex has an associated lexicon and document frequency which can be used to provide information about the document stream. The graph model is demonstrated on a dataset of news articles collected over several years.
Large Vocabulary Continuous Speech Recognition Using Partitioned Graph Search
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Author : Chuang-Chien Chiu
language : en
Publisher:
Release Date : 1993
Large Vocabulary Continuous Speech Recognition Using Partitioned Graph Search written by Chuang-Chien Chiu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Automatic speech recognition categories.
English And American Studies In German
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Author : Paul Georg Meyer
language : en
Publisher:
Release Date : 2007
English And American Studies In German written by Paul Georg Meyer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with American literature categories.
A Librarian S Guide To Graphs Data And The Semantic Web
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Author : James Powell
language : en
Publisher: Elsevier
Release Date : 2015-07-09
A Librarian S Guide To Graphs Data And The Semantic Web written by James Powell and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-09 with Language Arts & Disciplines categories.
Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. Provides an accessible introduction to network science that is suitable for a broad audience Devotes several chapters to a survey of how graph theory has been used in a number of scientific data-driven disciplines Explores how graph theory could aid library and information scientists
Conflict Resolution Using The Graph Model Strategic Interactions In Competition And Cooperation
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Author : Haiyan Xu
language : en
Publisher: Springer
Release Date : 2018-05-11
Conflict Resolution Using The Graph Model Strategic Interactions In Competition And Cooperation written by Haiyan Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-11 with Technology & Engineering categories.
This cutting-edge book presents the theory and practice of the Graph Model for Conflict Resolution (GMCR), which is used for strategically investigating disputes in any field to enable informed decision making. It clearly explains how GMCR can determine what is the best a particular decision maker (DM) can independently achieve in dynamic interaction with others. Moves and counter-moves follow various stability definitions reflecting human behavior under conflict. The book defines a wide range of preference structures to represent a DM’s comparisons of states or scenarios: equally preferred, more or less preferred; unknown; degrees of strength of preference; and hybrid. It vividly describes how GMCR can ascertain whether a DM can fare even better by cooperating with others in a coalition. The book portrays how a conflict can evolve from the status quo to a desirable resolution, and provides a universal design for a decision support system to implement the innovative decision technologies using the matrix formulation of GMCR. Further, it illustrates the key ideas using real-world conflicts and supplies problems at the end of each chapter. As such, this highly instructive book benefits teachers, mentors, students and practitioners in any area where conflict arises.
Graph Data Modeling In Python
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Author : Gary Hutson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30
Graph Data Modeling In Python written by Gary Hutson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.
Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBook Key Features Transform relational data models into graph data model while learning key applications along the way Discover common challenges in graph modeling and analysis, and learn how to overcome them Practice real-world use cases of community detection, knowledge graph, and recommendation network Book Description Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you'll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis. Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you'll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you'll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you'll also get to grips with adapting your network model to evolving data requirements. By the end of this book, you'll be able to transform tabular data into powerful graph data models. In essence, you'll build your knowledge from beginner to advanced-level practitioner in no time. What you will learn Design graph data models and master schema design best practices Work with the NetworkX and igraph frameworks in Python Store, query, ingest, and refactor graph data Store your graphs in memory with Neo4j Build and work with projections and put them into practice Refactor schemas and learn tactics for managing an evolved graph data model Who this book is for If you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also beneficial for data scientists and Python developers looking to get started with graph data modeling. Although knowledge of Python is assumed, no prior experience in graph data modeling theory and techniques is required.
The Oxford Handbook Of Lexicography
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Author : Philip Durkin
language : en
Publisher: Oxford University Press
Release Date : 2016
The Oxford Handbook Of Lexicography written by Philip Durkin and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Language Arts & Disciplines categories.
This volume provides concise, authoritative accounts of the approaches and methodologies of modern lexicography and of the aims and qualities of its end products. Leading scholars and professional lexicographers, from all over the world and representing all the main traditions andperspectives, assess the state of the art in every aspect of research and practice. The book is divided into four parts, reflecting the main types of lexicography. Part I looks at synchronic dictionaries - those for the general public, monolingual dictionaries for second-language learners, andbilingual dictionaries. Part II and III are devoted to the distinctive methodologies and concerns of the historical dictionaries and specialist dictionaries respectively, while chapters in Part IV examine specific topics such as description and prescription; the representation of pronunciation; andthe practicalities of dictionary production. The book ends with a chronology of the major events in the history of lexicography. It will be a valuable resource for students, scholars, and practitioners in the field.
Hybrid Soft Computing Models Applied To Graph Theory
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Author : Muhammad Akram
language : en
Publisher: Springer
Release Date : 2019-04-05
Hybrid Soft Computing Models Applied To Graph Theory written by Muhammad Akram and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-05 with Technology & Engineering categories.
This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors’ research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers’ creativity thus offering a source of inspiration for future research.