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.
I wanted to get an introduction on the semantic web and the OWL, so I picked up two books: This one by Uschold and the one by Szeredi et al. I read the first few chapters of Szeredi et al. first, and then Part I of Uschold. . . . Uschold's book is written in the style of lectures. There's emphasis on getting the concepts across over academic rigour. It is very readable, and understandable. The concepts involved in knowledge representation and in drawing inferences using logic in a precise and scalable manner are a little bit hard to get one's mind around initially, however, this book makes it easy to get started. Sometimes, though, one has to read a section twice to grasp the nuances. If your need is like mine, i.e., to understand the basics of the semantic web, ontologies, and OWL, then go ahead and read the first parts as I did. Since I didn't read through the entire book, I can't say anything about the latter parts of the book.