2010 LuceneinAction2ndEdition

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Subject Headings: Lucene, Reference Document.

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Book Overview

Table of Contents

Part 1 Core Lucene
Chapter 1 Meet Lucene
   Dealing with information explosion
   What is Lucene?
   Lucene and the components of a search application
   Lucene in action: a sample application
   Understanding the core indexing classes
   Understanding the core searching classes
   Summary
Chapter 2 Building a search index
   How Lucene models content
   Understanding the indexing process
   Basic index operations
   Field options
   Boosting documents and fields
   Indexing numbers, dates, and times
   Field truncation
   Near-real-time search
   Optimizing an index
   Other directory implementations
   Concurrency, thread safety, and locking issues
   Debugging indexing
   Advanced indexing concepts
   Summary
Chapter 3 Adding search to your application
   Implementing a simple search feature
   Using IndexSearcher
   Understanding Lucene scoring
   Lucene’s diverse queries
   Parsing query expressions: QueryParser
   Summary
Chapter 4 Lucene’s analysis process
   Using analyzers
   What’s inside an analyzer?
   Using the built-in analyzers
   Sounds-like querying
   Synonyms, aliases, and words that mean the same
   Stemming analysis
   Field variations
   Language analysis issues
   Nutch analysis
   Summary
Chapter 5 Advanced search techniques
   Lucene’s field cache
   Sorting search results
   Using MultiPhraseQuery
   Querying on multiple fields at once
   Span queries
   Filtering a search
   Custom scoring using function queries
   Searching across multiple Lucene indexes
   Leveraging term vectors
   Loading fields with FieldSelector
   Stopping a slow search
   Summary
Chapter 6 Extending search
   Using a custom sort method
   Developing a custom Collector
   Extending QueryParser
   Custom filters
   Payloads
   Summary
Part 2 Applied Lucene
Chapter 7 Extracting text with Tika
   What is Tika?
   Tika’s logical design and API
   Installing Tika
   Tika’s built-in text extraction tool
   Extracting text programmatically
   Tika’s limitations
   Indexing custom XML
   Alternatives
   Summary
Chapter 8 Essential Lucene extensions
   Luke, the Lucene Index Toolbox
   Analyzers, tokenizers, and TokenFilters
   Highlighting query terms
   FastVectorHighlighter
   Spell checking
   Fun and interesting Query extensions
   Building contrib modules
   Summary
Chapter 9 Further Lucene extensions
   Chaining filters
   Storing an index in Berkeley DB
   Synonyms from WordNet
   Fast memory-based indices
   XML QueryParser: Beyond “one box” search interfaces
   Surround query language
   Spatial Lucene
   Searching multiple indexes remotely
   Flexible QueryParser Odds and ends
   Summary
Chapter 10 Using Lucene from other programming languages
   Ports primer
   CLucene (C++)
   Lucene. Net (C# and other .NET languages)
   KinoSearch and Lucy (Perl)
   Ferret (Ruby)
   PHP
   PyLucene (Python)
   Solr (many programming languages)
   Summary
Chapter 11 Lucene administration and performance tuning
   Performance tuning
   Threads and concurrency
   Managing resource consumption
   Hot backups of the index
   Common errors
   Summary
Part 3 Case studies
Chapter 12 Case study 1: Krugle
Krugle: Searching source code
   Introducing Krugle
   Appliance architecture
   Search performance
   Parsing source code
   Substring searching
   Query vs. search
   Future improvements
   Summary
Chapter 13 Case study 2: SIREn
Searching semistructured documents with SIREn
   Introducing SIREn
   SIREn’s benefits
   Indexing entities with SIREn
   Searching entities with SIREn
   Integrating SIREn in Solr
   Benchmark
   Summary
Chapter 14 Case study 3: LinkedIn
Adding facets and real-time search with Bobo Browse and Zoie
   Faceted search with Bobo Browse
   Real-time search with Zoie
   Summary

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References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2010 LuceneinAction2ndEditionMichael McCandless
Erik Hatcher
Otis Gospodnetić
Lucene in Action, 2nd Edition2010