Demystifying OWL for the Enterprise

Demystifying OWL for the Enterprise
Author :
Publisher : Springer Nature
Total Pages : 237
Release :
ISBN-10 : 9783031794827
ISBN-13 : 3031794826
Rating : 4/5 (826 Downloads)

Book Synopsis Demystifying OWL for the Enterprise by : Michael Uschold

Download or read book Demystifying OWL for the Enterprise written by Michael Uschold and published by Springer Nature. This book was released on 2022-05-31 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an essential ingredient in this stack, and the need for ontologists is increasing faster than the number and variety of available resources for learning OWL. This is especially true for the primary target audience for this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings. The purpose of this book is to speed up the process of learning and mastering OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time. Others who may benefit from this book include technically oriented managers, semantic technology developers, undergraduate and post-graduate students, and finally, instructors looking for new ways to explain OWL. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas. Part 1 is a cook's tour of ontology and OWL, giving an informal overview of what things need to be said to build an ontology, followed by a detailed look at how to say them in OWL. This is illustrated using a healthcare example. Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters. Part 2 goes into depth on properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned. Each is illustrated with real-world examples. Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions. A small ontology is described for each, along with some key inferences. Key limitations of OWL are identified, along with possible workarounds. The final chapter gives a variety of practical tips and guidelines to send the reader on their way.


Demystifying OWL for the Enterprise Related Books

Demystifying OWL for the Enterprise
Language: en
Pages: 237
Authors: Michael Uschold
Categories: Mathematics
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

GET EBOOK

After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of tec
Demystifying OWL for the Enterprise
Language: en
Pages: 345
Authors: Michael Uschold
Categories: Computers
Type: BOOK - Published: 2018-05-29 - Publisher: Morgan & Claypool Publishers

GET EBOOK

The purpose of this book is to speed up the processing of learning and mastering the Web Ontology Language OWL. To that end, the focus is on the 30% of OWL that
Designing and Building Enterprise Knowledge Graphs
Language: en
Pages: 142
Authors: Juan Sequeda
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

GET EBOOK

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered o
Ontology Engineering
Language: en
Pages: 102
Authors: Elisa Kendall
Categories: Mathematics
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

GET EBOOK

Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data genera
Data Science with Semantic Technologies
Language: en
Pages: 315
Authors: Archana Patel
Categories: Computers
Type: BOOK - Published: 2023-06-20 - Publisher: CRC Press

GET EBOOK

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This