The focus of this textbook is the meaning of linguistic expressions, typically full sentences and longer texts. The author describes the conceptual and formal tools required for building semantic systems capable of understanding text, both for specific tasks such as information extraction and question answering and for broad undertakings such as the Semantic Web. The goal here is to present the fundamental ideas that working systems rest on, and this book is aimed primarily at Computer Science or Engineering students interested in developing semantic systems. The ideal reader is a hacker, a person who delights in having an intimate understanding of the internal workings of a system.
Readers who study semantics because they need code that performs some semantic task will find references within the documentation of the code to the relevant landing sites in the book. Hyperlinks provide two-way crosslinking between the text and the growing body of Python code that implements the main ideas. This material is intended for the experienced software developer only - the book does not provide an introduction to Python - and should not be thought of as providing detailed documentation for the code.
The computationally oriented reader, ideally a graduate student or advanced undergraduate in computer science/engineering, will find the book self-contained, except for the mathematical prerequisites.
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