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.
Key limitations of OWL are identified, along with possible worka.
A small ontology is described for each, along with some key inferences.
Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions.
Each is illustrated with real world examples.
There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned.
Part 2 goes into depth on properties and classes, which are the core of OWL.
Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters.
This is illustrated using a healthcare example.
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.
Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas.
The book unfolds in a spiral manner, starting with the core ideas.
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.
To that end, the focus is on the 30% of OWL that gets used 90% of the time.
The purpose of this book is to speed up the process of learning and mastering 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 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.
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
