Building Search Applications: Lucene, LingPipe, and Gate Review

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Building Search Applications: Lucene, LingPipe, and Gate ReviewUnfortunately, there are not too many books written on the subject of Information Retrieval as it relates to Java programming, and thankfully, Mr.Konchady's contribution is an excellent resource. It provides a nice balance between the discussion of the theory of Information Retrieval, and providing concrete examples in Java, using Lucene, LingPipe, and Gate (API's for Information Retrieval used in Java). I personally had only heard of Lucene before coming across this book, and was very thankful to learn of the other two (LingPipe, and Gate) afterwards. The book shows the user how to use the above API's together when building an application, which is a great learning opportunity for the reader, because most tutorials available for Lucene, LingPipe, or Gate that you'll find online show you how to use that particular API only, instead of showing you how to use it in conjunction with others to truly harness the power of Information Retrieval with Natural Language Processing, together. The other very nice thing about this book is that the author also introduces the reader to other tools (such as Nutch, WordNet, etc.) that allows the user to provide advanced functionality, without "re-inventing the wheel". This book is a must read for anyone who is serious about learning to develop applications involving Information Retrieval.Building Search Applications: Lucene, LingPipe, and Gate Overview

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Tika in Action Review

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Tika in Action ReviewFor people working with content, a common problem is "what kind of thing is this binary file, and what does it contain?". Apache Tika provides a solution for these issues, and Tika In Action tells you how to make use of it! The book starts with a great introduction to content, content types and metadata, then quickly gets you started on using Tika. Next we're guided through how to identify the type of content and files, then how to get out the textual contents, formatting and metadata. Finally we're given guides on extending Tika, and integrating it into Search Systems, Content Management Systems and Scientific Processing. The book is well written, full of great examples, and is a brilliant way to get started (and work your way to expert!) on this common problem area, identifying and extracting information from content.Tika in Action Overview

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