Statistical Semantics
Statistical Semantics

Author: Sverker Sikström

Publisher: Springer Nature

Published: 2020-06-08

Total Pages: 266

ISBN-13: 3030372502

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This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.

Statistical Semantics
Statistical Semantics

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2023-07-05

Total Pages: 121

ISBN-13:

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What Is Statistical Semantics In the field of linguistics, statistical semantics is the application of statistical approaches to the problem of determining the meaning of words or phrases, ideally by unsupervised learning. The goal is to achieve a degree of precision at least sufficient for the purpose of information retrieval. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Statistical semantics Chapter 2: Computational linguistics Chapter 3: Natural language processing Chapter 4: Semantic network Chapter 5: Word-sense disambiguation Chapter 6: Latent semantic analysis Chapter 7: Semantic similarity Chapter 8: Distributional semantics Chapter 9: Word embedding Chapter 10: Semantic parsing (II) Answering the public top questions about statistical semantics. (III) Real world examples for the usage of statistical semantics in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of statistical semantics' 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 statistical semantics.

Semantics in Data and Knowledge Bases
Semantics in Data and Knowledge Bases

Author: Klaus-Dieter Schewe

Publisher: Springer Science & Business Media

Published: 2008-11-06

Total Pages: 225

ISBN-13: 3540885935

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This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Semantics in Data and Knolwedge Bases, SDKB 2008, held in Nantes, France, on March 29, 2008. The 6 revised full papers presented together with 4 invited papers and a survey on the state of the art in the field, were carefully reviewed and selected for inclusion in the book. The SDKB workshop presented original contributions demonstrating the use of logic, discrete mathematics, combinatorics, domain theory and other mathematical theories of semantics for database and knowledge bases, computational linguistics and semiotics, and information and knowledge-based systems.

Social Semantics
Social Semantics

Author: Harry Halpin

Publisher: Springer Science & Business Media

Published: 2012-08-01

Total Pages: 234

ISBN-13: 1461418852

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Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture and Semantic Web in detail. It has a robust empirical side which has an impact on industry. Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothesizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines. Social Semantics: The Search for Meaning on the Web targets practitioners working in the related fields of the semantic web, search engines, information retrieval, philosophers of language and more. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.

Semantic Keyword-Based Search on Structured Data Sources
Semantic Keyword-Based Search on Structured Data Sources

Author: Julian Szymański

Publisher: Springer

Published: 2018-02-07

Total Pages: 273

ISBN-13: 3319744976

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This book constitutes the thoroughly refereed post-conference proceedings of the Third COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdańsk, Poland, in September 2017. The 13 revised full papers and 5 short papers included in the first part of the book were carefully reviewed and selected from numerous submissions. The second part contains reports that summarize the major activities and achievements that have taken place in the context of the action: the short term scientific missions, the outcome of the summer schools, and the results achieved within the following four work packages: representation of structured data sources; keyword search; user interaction and keyword query interpretation; and research integration, showcases, benchmarks and evaluations. Also included is a short report generated by the chairs of the action. The papers cover a broad range of topics in the area of keyword search combining expertise from many different related fields such as information retrieval, natural language processing, ontology management, indexing, semantic web and linked data.

Semantic Modeling for Data
Semantic Modeling for Data

Author: Panos Alexopoulos

Publisher: O'Reilly Media

Published: 2020-08-19

Total Pages: 329

ISBN-13: 1492054240

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What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges

Semantic Keyword-based Search on Structured Data Sources
Semantic Keyword-based Search on Structured Data Sources

Author: Jorge Cardoso

Publisher: Springer

Published: 2016-01-06

Total Pages: 209

ISBN-13: 3319279327

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This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.