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        <dc:date>2011-07-28T12:50:47+02:00</dc:date>
        <title>The main components of regain</title>
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        <description>The basic job done by regain is: The crawler searches for documents, extracts their text and stores it in a search index. Using this index, the search mask can answer search queries from users in nearly no time. For writing and using the search index, regain is using a library called Lucene.</description>
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        <title>regain configuration</title>
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        <description>There are several files where you can change the behavior or the look of regain.


Crawler configuration:

	*  The log4j.properties contains all settings for the logging. You can define the granularity, the format and the location of your log files. See the log4j documentation for details.
	*  The CrawlerConfiguration.xml contains all settings for the Crawler.</description>
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        <title>regain features</title>
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        <description>regain offers lots of very useful functions that are important for an effective search engine.

Search

	*  regain uses the powerful search syntax of Lucene. Thus it is possible to express very specific search queries. The most important possibilities are the following:
		*  Boolean operators
		*  Wildcards
		*  Phonetic search
		*  Grouping
		*  and much more. You can find more information about the search syntax here.</description>
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        <title>Regain manual</title>
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        <description>Welcome to the manual of regain.

regain is a search engine similar to web search engines like Google. Using regain you can search through large portions of data (several gigabytes!) in split seconds! This is possible by using a Search index. regain crawles through your files or webpages, extracts all text and puts it in a smart search index. All this happens in the background. So if you want to search something you get the results immediately.</description>
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        <title>Terminology</title>
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        <description>This page lists short explanations of special terms regarding regain and search engines.

Analyzer


When the Crawler found a document and extracted the text, then it stores that text in the Search index using Lucene.

Lucene extract every single word from the document's text. Before the words are stored in the index, they are reduced to their base form using an analyzer. So searching for tree and trees has the same results.</description>
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