OWL for Businesses

OWL for Businesses

Creating an Ontology Language (OWL) for businesses means using a language to define and instantiate ontologies on the web. Create the Web semantic relationships . This is a language for defining and instantiating ontologies on the web.

But first, let's talk about the semantics present on the Internet, or more accurately, on the web.

Web semantics is becoming increasingly present in our lives.

Creating the foundation for your business to perform well on the Web of the Future requires building what we call a Semantic Vocabulary , or Domain . Every industry group has its own semantic vocabulary focused on its activity, which describes the entities within its domain .

Think of Domain as the main term that defines what your business does. In the case of Micro and Small businesses, it's: WEBSITES. Within this domain, I define an ontology, which is a data model that represents a set of concepts within a domain and the relationships between them. An ontology is used to perform inferences about the objects in the domain .

What is an ontology?

network

Ontology is a branch of philosophy that studies the nature of being , of nature, and of reality itself. It seeks to establish semantic relationships between concepts, in the form of conceptual networks, similar to those of the human mind, within a specific domain of knowledge .

When I define an ontology for your business, I have to use a language, and it's called OWL: Ontology Web Language.

Learn how taxonomy can help you optimize your website.

But what is OWL?

ontology
Demystifying OWL for the company

This is a language for defining and instantiating ontologies on the Web. An OWL ontology can include descriptions of classes and their respective properties and relationships.

It was created so that your web projects can be understood by both people (who can read, see your images and videos, and draw conclusions and inferences about what you are saying) and computers a markup language like OWL in your online content

And how will you, as a business owner, use OWL in your projects?

That's why I'm writing to recommend this newly released book: Demystifying OWL for Businesses by Michael Uschold.

OWL in Companies

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 .

Ontology 1

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 resources available for learning OWL .

This is especially true for the primary target audience of this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings.

The goal of this book is to accelerate the learning and mastery process of OWL. To that end, the focus is on the 30% of OWL that are used 90% of the time.

Others who may benefit from this book include technically oriented managers, technology , undergraduate and graduate students, and finally, instructors looking for new ways to explain OWL .

The book unfolds in a spiral fashion, beginning with the central ideas. Each subsequent cycle reinforces and expands upon what was learned in the previous 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 fundamental ideas about meaning and semantics to prepare the reader for subsequent chapters.

Part 2 details the properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs you'll likely need in daily modeling, including which inferences are sanctioned. Each is illustrated with real-world examples.

Part 3 explains and illustrates how to put OWL into practice, using examples from healthcare, warranties, and financial transactions. A small ontology is described for each, along with some important inferences. The main limitations of OWL are identified, along with possible alternative solutions.

The final chapter offers several practical tips and guidelines to guide the reader along the way.

Source: Morgan Clay Pool Publishers

Demystifying OWL for the company – Michael Uschold

Synthesis Lectures on Semantic Web: Theory and Technology

ISBN: 9781681731278 | PDF ISBN: 9781681731285

Hardcover ISBN: 9781681732831

Copyright © 2018 | 264 Pages | Publication Date: May, 2018

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Hello, I'm Alexander Rodrigues Silva, SEO specialist and author of the book "Semantic SEO: Semantic Workflow". I've worked in the digital world for over two decades, focusing on website optimization since 2009. My choices have led me to delve into the intersection between user experience and content marketing strategies, always with a focus on increasing organic traffic in the long term. My research and specialization focus on Semantic SEO, where I investigate and apply semantics and connected data to website optimization. It's a fascinating field that allows me to combine my background in advertising with library science. In my second degree, in Library and Information Science, I seek to expand my knowledge in Indexing, Classification, and Categorization of Information, seeing an intrinsic connection and great application of these concepts to SEO work. I have been researching and connecting Library Science tools (such as Domain Analysis, Controlled Vocabulary, Taxonomies, and Ontologies) with new Artificial Intelligence (AI) tools and Large-Scale Language Models (LLMs), exploring everything from Knowledge Graphs to the role of autonomous agents. In my role as an SEO consultant, I seek to bring a new perspective to optimization, integrating a long-term vision, content engineering, and the possibilities offered by artificial intelligence. For me, SEO work is a strategy that needs to be aligned with your business objectives, but it requires a deep understanding of how search engines work and an ability to understand search results.

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