Theory and Applications of Ontology: Computer Applications
Theory and Applications of Ontology: Computer Applications

Author: Roberto Poli

Publisher: Springer

Published: 2010-09-17

Total Pages: 576

ISBN-13: 9789048188468

DOWNLOAD EBOOK

Ontology was once understood to be the philosophical inquiry into the structure of reality: the analysis and categorization of ‘what there is’. Recently, however, a field called ‘ontology’ has become part of the rapidly growing research industry in information technology. The two fields have more in common than just their name. Theory and Applications of Ontology is a two-volume anthology that aims to further an informed discussion about the relationship between ontology in philosophy and ontology in information technology. It fills an important lacuna in cutting-edge research on ontology in both fields, supplying stage-setting overview articles on history and method, presenting directions of current research in either field, and highlighting areas of productive interdisciplinary contact. Theory and Applications of Ontology: Computer Applications presents ontology in ways that philosophers are not likely to find elsewhere. The volume offers an overview of current research in ontology, distinguishing basic conceptual issues, domain applications, general frameworks, and mathematical formalisms. It introduces the reader to current research on frameworks and applications in information technology in ways that are sure to invite reflection and constructive responses from ontologists in philosophy.

An Introduction to Ontology Engineering
An Introduction to Ontology Engineering

Author: C. Maria Keet

Publisher:

Published: 2018-11-07

Total Pages: 344

ISBN-13: 9781848902954

DOWNLOAD EBOOK

An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.

Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web

Author: Alexander Maedche

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 253

ISBN-13: 1461509254

DOWNLOAD EBOOK

Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.

Ontology Learning and Population from Text
Ontology Learning and Population from Text

Author: Philipp Cimiano

Publisher: Springer Science & Business Media

Published: 2006-12-11

Total Pages: 362

ISBN-13: 0387392521

DOWNLOAD EBOOK

In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.

Computer Science Ontology
Computer Science Ontology

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2023-06-29

Total Pages: 182

ISBN-13:

DOWNLOAD EBOOK

What Is Computer Science Ontology An ontology is a representation, formal naming, and specification of the categories, qualities, and relations between the concepts, data, and entities that substantiate one, many, or all domains of discourse. In the field of information science, an ontology covers all of these elements. To put it another way, an ontology is a method of establishing a group of concepts and categories that are representative of a topic area in order to demonstrate how the characteristics of that subject area are related to one another. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Ontology (computer science) Chapter 2: Cyc Chapter 3: Knowledge representation and reasoning Chapter 4: Semantic Web Chapter 5: Web Ontology Language Chapter 6: Description logic Chapter 7: Modeling language Chapter 8: Upper ontology Chapter 9: Ontology language Chapter 10: Ontology engineering (II) Answering the public top questions about computer science ontology. (III) Real world examples for the usage of computer science ontology in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer science ontology' 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 computer science ontology.

Building Ontologies with Basic Formal Ontology
Building Ontologies with Basic Formal Ontology

Author: Robert Arp

Publisher: MIT Press

Published: 2015-08-28

Total Pages: 245

ISBN-13: 026232959X

DOWNLOAD EBOOK

An introduction to the field of applied ontology with examples derived particularly from biomedicine, covering theoretical components, design practices, and practical applications. In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use. After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies.

Semantic Web: Concepts, Technologies and Applications
Semantic Web: Concepts, Technologies and Applications

Author: Karin Breitman

Publisher: Springer Science & Business Media

Published: 2007-01-24

Total Pages: 329

ISBN-13: 184628581X

DOWNLOAD EBOOK

The Web is growing at an astounding pace surpassing the 8 billion page mark. However, most pages are still designed for human consumption and cannot be processed by machines. This book provides a well-paced introduction to the Semantic Web. It covers a wide range of topics, from new trends (ontologies, rules) to existing technologies (Web Services and software agents) to more formal aspects (logic and inference). It includes: real-world (and complete) examples of the application of Semantic Web concepts; how the technology presented and discussed throughout the book can be extended to other application areas.

Ontology Engineering
Ontology Engineering

Author: Elisa Kendall

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 102

ISBN-13: 3031794869

DOWNLOAD EBOOK

Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded. As of 2014, 90% of the data in the digital universe was generated in the two years prior, and the volume of data was projected to grow from 3.2 zettabytes to 40 zettabytes in the next six years. The very real issues that government, research, and commercial organizations are facing in order to sift through this amount of information to support decision-making alone mandate increasing automation. Yet, the data profiling, NLP, and learning algorithms that are ground-zero for data integration, manipulation, and search provide less than satisfactory results unless they utilize terms with unambiguous semantics, such as those found in ontologies and well-formed rule sets. Ontologies can provide a rich "schema" for the knowledge graphs underlying these technologies as well as the terminological and semantic basis for dramatic improvements in results. Many ontology projects fail, however, due at least in part to a lack of discipline in the development process. This book, motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech) and then later from a semester-long university class, is designed to provide the foundations for ontology engineering. The book can serve as a course textbook or a primer for all those interested in ontologies.

Reality, Universal Ontology and Knowledge Systems: Toward the Intelligent World
Reality, Universal Ontology and Knowledge Systems: Toward the Intelligent World

Author: Abdoullaev, Azamat

Publisher: IGI Global

Published: 2008-04-30

Total Pages: 346

ISBN-13: 1599049678

DOWNLOAD EBOOK

"This book provides cutting-edge research on reality, its nature and fundamental structure, represented both by human minds and intelligent machines.--striving to describe a world model and ontology; organized human knowledge; powerful reasoning systems; and secure communication interoperability between human beings and computing reasoning systems promising the profound revolution in human values and ways of life"--Provided by publisher.

Ontologies for Software Engineering and Software Technology
Ontologies for Software Engineering and Software Technology

Author: Coral Calero

Publisher: Springer Science & Business Media

Published: 2006-10-12

Total Pages: 344

ISBN-13: 3540345183

DOWNLOAD EBOOK

This book covers two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.