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Revision 45 as of 2007-10-20 12:54:24
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Revision 153 as of 2012-01-25 20:51:04
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Editor: Hannah Bast
Comment:
Deletions are marked like this. Additions are marked like this.
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== Documentation (users) == #acl All:read
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[wiki:Self:completesearch/Installation Installation Guide] = CompleteSearch =
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[wiki:Self:completesearch/IndexBuilding Index Building: Tools, Formats, etc.] [[MpiiWiki|Old Wiki from the MPII]] (lots of detailed / internal information)
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[wiki:Self:completesearch/DocumentFormats Document Formats: .docs, .words, .vocabulary, etc.] == Quick Intro ==
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[wiki:Self:CodingConventions Coding Conventions] Follow these steps to checkout the !CompleteSearch code from our SVN, build it, build an index, run a server on that index, and ask queries to that server via HTTP. Don't be afraid, it's easy. If you have questions, send an email to Hannah Bast <bast@informatik.uni-freiburg.de>.
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[wiki:Self:completesearch/DesignConventions OO and C++ Design Conventions] === 0. Get source code ===
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{{{
svn checkout
http://vulcano.informatik.uni-freiburg.de/svn/completesearch/codebase
Username: [ask us]
Password: [ask us]
}}}
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== Documentation (developers) == === 1. Compile ===
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[wiki:Self:completesearch/OverviewCode Source code overview] {{{
make all
}}}
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[wiki:Self:completesearch/GNUBuildSystem How to use the autoconf/automake tools to build and deliver the project.] This will build three binaries:
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[wiki:Self:completesearch/CMakeBuildSystem How to use CMake to build and deliver the project.]  * buildIndex
 * buildDocsDB
 * startCompletionServer
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[wiki:Self:completesearch/MinGW Compiling under MinGW] If you call any of these binaries without parameters you will get usage
info with all the available options.
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[wiki:Self:completesearch/ExcerptGenerator Excerpt Generator requirements] === 2. Input (to be produced by a suitable parser) ===
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[wiki:Self:completesearch/Templates Template peculiarities in the Complete``Search code] Ínput 1: a file ''<base-name>.words'', with lines of the form
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[wiki:Self:completesearch/CVSHistory CVS history (TODO: what's this; is it still used?)] {{{
<word><TAB><doc id><TAB><score><TAB><position>
}}}
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This file must be sorted such that ''sort -c -k1,1 -k2,2n -k4,4n'' does not complain.
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Input 2: a file ''<base-name>.docs'', with lines of the form
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== HOWTOs == <doc id><TAB>u:<url of document><TAB>t:<title of document><TAB>H:<raw
text of document>
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[wiki:Self:completesearch/SeleniumRC Testing with SeleniumRC] This file must be sorted so that ''sort -c -k1,1n'' does not complain.
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[wiki:Self:completesearch/ModPhpStartetExe Apache mit mod_php startet externe Programme unter Windows] You find a very simple example under
http://www.mpi-inf.mpg.de/~bast/topsecret/example.tgz
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[wiki:Self:completesearch/CharacterEncoding Character Encoding] === 3. Build the word index ===
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[wiki:Self:completesearch/Examples Example programs etc.] {{{
buildIndex HYB <base-name>.words
}}}
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This produces the (binary) index file ''<base-name>.hybrid''.
It enables fast processing of the powerful query language offered by CompleteSearch (including
full-text search, prefix search and completion, synonym search, error-tolerant search,
etc.).
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''buildIndex'' also produces the file ''<base-name>.vocabulary'' that provides
the mapping from word ids to words. This is an ASCII file, you can just look at it.
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== TODOs == Note that by default, the HYB index is built with block of fixed sizes. It is more
efficient though to pass it an explicit list of block boundaries (-B
option). TODO: say something about this here, it's actually quite easy.
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[wiki:Self:completesearch/TODO TODO list] === 4. Build the doc index ===
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[wiki:Self:NewFeatures New Features that would be nice to have] {{{
buildDocsDB <name>.docs
}}}

This produces the (binar) file ''<base-name>.docs.DB'' which provides an efficient mapping
from doc ids to documents. This is needed if you want to show excerpts / snippets
from documents matching the query (which is almost always the case).

=== 5. Start server ===

startCompletionServer -Z <name>.hybrid

This starts the server. If you run it without argument, it prints usage
information. The -Z argument lets the server run in the foreground, and
output everything to the console, which is convenient for testing.

6. Queries

The server listens on the port you specified in step 6 (8888 by
default), and speaks HTTP. For example:

curl "http://localhost:8888/?q=die*&h=1&c=3"

This will return the result as an XML, which should be self-explanatory.

Here is the list of parameters which you may pass along with the query
(q=...)

h : number of hits
c : number of completions (of last query word, if you put a * behind it)
f : send hits starting from this one (default: 0)
en : number of excerpts per hit
er : size of excerpt
rd : how to rank the documents (0 = by score, 1 = by doc id, 2 = by word
id, append a or d for ascending or descending)
rw : how to rank the words (0 = by score, 1 = by doc count, 2 = by
occurrence count, 3 = by word id, 4 = by doc id, append a or d as above)
s : how to aggregate scores (expert option, ignore for the moment)

Jede Menge Doku auf http://search.mpi-inf.mpg.de/wiki/CompleteSearch

CompleteSearch

Old Wiki from the MPII (lots of detailed / internal information)

Quick Intro

Follow these steps to checkout the CompleteSearch code from our SVN, build it, build an index, run a server on that index, and ask queries to that server via HTTP. Don't be afraid, it's easy. If you have questions, send an email to Hannah Bast <bast@informatik.uni-freiburg.de>.

0. Get source code

svn checkout
http://vulcano.informatik.uni-freiburg.de/svn/completesearch/codebase
Username: [ask us]
Password: [ask us]

1. Compile

make all

This will build three binaries:

  • buildIndex
  • buildDocsDB
  • startCompletionServer

If you call any of these binaries without parameters you will get usage info with all the available options.

2. Input (to be produced by a suitable parser)

Ínput 1: a file <base-name>.words, with lines of the form

<word><TAB><doc id><TAB><score><TAB><position>

This file must be sorted such that sort -c -k1,1 -k2,2n -k4,4n does not complain.

Input 2: a file <base-name>.docs, with lines of the form

<doc id><TAB>u:<url of document><TAB>t:<title of document><TAB>H:<raw text of document>

This file must be sorted so that sort -c -k1,1n does not complain.

You find a very simple example under http://www.mpi-inf.mpg.de/~bast/topsecret/example.tgz

3. Build the word index

buildIndex HYB <base-name>.words

This produces the (binary) index file <base-name>.hybrid. It enables fast processing of the powerful query language offered by CompleteSearch (including full-text search, prefix search and completion, synonym search, error-tolerant search, etc.).

buildIndex also produces the file <base-name>.vocabulary that provides the mapping from word ids to words. This is an ASCII file, you can just look at it.

Note that by default, the HYB index is built with block of fixed sizes. It is more efficient though to pass it an explicit list of block boundaries (-B option). TODO: say something about this here, it's actually quite easy.

4. Build the doc index

buildDocsDB <name>.docs

This produces the (binar) file <base-name>.docs.DB which provides an efficient mapping from doc ids to documents. This is needed if you want to show excerpts / snippets from documents matching the query (which is almost always the case).

5. Start server

startCompletionServer -Z <name>.hybrid

This starts the server. If you run it without argument, it prints usage information. The -Z argument lets the server run in the foreground, and output everything to the console, which is convenient for testing.

6. Queries

The server listens on the port you specified in step 6 (8888 by default), and speaks HTTP. For example:

curl "http://localhost:8888/?q=die*&h=1&c=3"

This will return the result as an XML, which should be self-explanatory.

Here is the list of parameters which you may pass along with the query (q=...)

h : number of hits c : number of completions (of last query word, if you put a * behind it) f : send hits starting from this one (default: 0) en : number of excerpts per hit er : size of excerpt rd : how to rank the documents (0 = by score, 1 = by doc id, 2 = by word id, append a or d for ascending or descending) rw : how to rank the words (0 = by score, 1 = by doc count, 2 = by occurrence count, 3 = by word id, 4 = by doc id, append a or d as above) s : how to aggregate scores (expert option, ignore for the moment)

Jede Menge Doku auf http://search.mpi-inf.mpg.de/wiki/CompleteSearch

CompleteSearch: FrontPage (last edited 2017-03-19 13:30:19 by Hannah Bast)