Synopses & Reviews
Tika in Action is a hands-on guide to content mining with Apache Tika. The book's many examples and case studies offer real-world experience from domains ranging from search engines to digital asset management and scientific data processing. About the Technology
Tika is an Apache toolkit that has built into it everything you and your app need to know about file formats. Using Tika, your applications can discover and extract content from digital documents in almost any format, including exotic ones. About this Book
Tika in Action is the ultimate guide to content mining using Apache Tika. You'll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital asset management, and scientific data processing. In addition to architectural overviews, you'll find detailed chapters on features like metadata extraction, automatic language detection, and custom parser development.
This book is written for developers who are new to both Scala and Lift and covers just enough Scala to get you started.
Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside
- Crack MS Word, PDF, HTML, and ZIP
- Integrate with search engines, CMS, and other data sources
- Learn through experimentation
- Many examples
This book requires no previous knowledge of Tika or text mining techniques. It assumes a working knowledge of Java.
========================================== Table of Contents
PART 1 GETTING STARTED
- The case for the digital Babel fish
- Getting started with Tika
- The information landscape
PART 2 TIKA IN DETAIL
- Document type detection
- Content extraction
- Understanding metadata
- Language detection
- What's in a file?
PART 3 INTEGRATION AND ADVANCED USE
- The big picture
- Tika and the Lucene search stack
- Extending Tika
PART 4 CASE STUDIES
- Powering NASA science data systems
- Content management with Apache Jackrabbit
- Curating cancer research data with Tika
- The classic search engine example
The information trapped in text files, PDFs, and other digital content is a valuable information asset that can be very difficult to discover and use. Apache Tika is an open source toolkit that makes it easy for search engines, content management systems and other applications to detect and extract content from digital documents in all major file formats.
Tika in Action is a hands-on guide for developers working with search engines, content management systems and other similar applications who want to exploit the information locked in digital documents. It introduces the world of mining text and binary documents as well as other information sources. The book shows where Tika fits within this landscape and how readers can use Tika to build and extend applications. The book's many case studies give real-world experience from domains ranging from search engines to digital asset management and scientific data processing.
About the Author
has a wealth of experience in software design, and in the construction of large-scale data-intensive systems. His work has infected a broad set of communities, ranging from helping NASA unlock data from its next generation of earth science system satellites, to assisting graduate students at the University of Southern California (his Alma mater) in the study of software architecture, all the way to helping industry and open source as a member of the Apache Software Foundation. When he's not busy being busy, he's spending time with his lovely wife and son braving the mean streets of Southern California.
Jukka Zitting is a core Tika developer with over a decade of experience of open source content management. Jukka works as a Senior Developer for the Swiss content management company Day Software, and is a member of the JCP expert group for the Content Repository for Java Technology API. He is a member of the Apache Software Foundation and the chairman of the Apache Jackrabbit project.