Contents

foreword
preface
acknowledgments
about this book
about the authors
about the cover illustration

Part 1 Getting started

Chapter 1 The case for the digital Babel: Understanding digital documents; What is Apache Tika?; Summary
Chapter 2 Getting started with Tika: Working with Tika source code; The Tika application; Tika as an embedded library; Summary
Chapter 3 The information landscape: Measuring information overload; I’m feeling lucky—searching the information landscape; Beyond lucky: machine learning; Summary

Part 2 Tika in detail

Chapter 4 Document type detection: Internet media types; Media types in Tika; File format diagnostics; Tika, the type inspector; Summary
Chapter 5 Content extraction: Full-text extraction; The Parser interface; Document input stream; Structured XHTML output; Context-sensitive parsing; Summary
Chapter 6 Understanding metadata: The standards of metadata; Metadata quality; Metadata in Tika; Practical uses of metadata; Summary
Chapter 7 Language detection: The most translated document in the world; Sounds Greek to me—theory of language detection; Language detection in Tika; Summary
Chapter 8 What’s in a file?: Types of content; How Tika extracts content; Summary

Chapter 9 The big picture: Tika in search; Managing and mining information; Buzzword compliance; Summary
Chapter 10 Tika and the Lucene search stack: Load-bearing walls; The steel frame; The finishing touches; Summary
Chapter 11 Extending Tika: Adding type information; Custom type detection; Customized parsing; Summary

Chapter 12 Powering NASA science data systems: NASA’s Planetary Data System; NASA’s Earth Science Enterprise; Summary
Chapter 13 Content management with Apache Jackrabbit: Introducing Apache Jackrabbit; The text extraction pool; Content-aware WebDAV; Summary
Chapter 14 Curating cancer research data with Tika: The NCI Early Detection Research Network; Integrating Tika; Summary
Chapter 15 The classic search engine example: The Public Terabyte Dataset Project; The Bixo web crawler; Summary