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[wiki:Self:completesearch/Installation Installation Guide] | #acl All:read |
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[wiki:Self:CodingConventions Coding Conventions] | = CompleteSearch = |
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[wiki:Self:completesearch/DesignConventions OO and C++ Design Conventions] | [[MpiiWiki|Old Wiki from the MPII]] (lots of detailed / internal information) |
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[wiki:Self:completesearch/Templates Template pecularities in the CompleteSearch code] | == Quick Intro == |
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[wiki:Self:NewFeatures New Features that would be nice to have] | 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 <bast@informatik.uni-freiburg.de>. |
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[wiki:Self:completesearch/Markus Markus' comments / log] [wiki:Self:completesearch/SeleniumRC Testing with SeleniumRC] |
0. Get source code |
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[wiki:Self:completesearch/CVSHistory CVS history] | svn checkout http://vulcano.informatik.uni-freiburg.de/svn/completesearch/codebase Username: [ask us] Password: [ask us] |
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[wiki:Self:completesearch/TODO TODO list] | 1. Compile |
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[wiki:Self:completesearch/ExcerptGenerator Excerpt Generator requirements] | make all |
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[wiki:Self:completesearch/IndexBuilding Index Building: Tools, Formats, etc.] | This will build three binaries: |
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[wiki:Self:completesearch/DocumentFormats Document Formats: .docs, .words, .vocabulary, etc.] | buildIndex buildDocsDB startCompletionServer |
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[wiki:Self:completesearch/Examples Example programs etc.] | 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/GNUBuildSystem How to use the autoconf/automake tools to build and deliver the project.] | 2. Input (to be produced by a suitable parser) a <name>.words file, with lines of the form <word><TAB><doc id><TAB><score><TAB><position> Must be sorted so that sort -c -k1,1 -k2,2n -k4,4n does not complain. And a <name>.docs file, with lines of the form <doc id><TAB>u:<url of document><TAB>t:<title of document><TAB>H:<raw text of document> 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 <name>.words This produces the main index file <name>.hybrid needed for prefix search (this is a binary file). It also produces the file <name>.vocabulary, that provides the mapping from word ids to words (it's an ascii file, you can just look at it). Note that by default, HYB is built with block of fixed sizes. It is more efficient though to pass it an explicit list of block boundaries (-B option). Let's talk about this more when efficiency becomes an issue for you. 4. Build the doc index buildDocsDB <name>.docs This produces the file <name>.docs.DB which provides efficient mapping from doc ids to documents. Needed if you want to show excerpts/snippets from documents matching the query. 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 <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)
a <name>.words file, with lines of the form
<word><TAB><doc id><TAB><score><TAB><position>
Must be sorted so that sort -c -k1,1 -k2,2n -k4,4n does not complain.
And a <name>.docs file, with lines of the form
<doc id><TAB>u:<url of document><TAB>t:<title of document><TAB>H:<raw text of document>
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 <name>.words
This produces the main index file <name>.hybrid needed for prefix search (this is a binary file). It also produces the file <name>.vocabulary, that provides the mapping from word ids to words (it's an ascii file, you can just look at it).
Note that by default, HYB is built with block of fixed sizes. It is more efficient though to pass it an explicit list of block boundaries (-B option). Let's talk about this more when efficiency becomes an issue for you.
4. Build the doc index
buildDocsDB <name>.docs
This produces the file <name>.docs.DB which provides efficient mapping from doc ids to documents. Needed if you want to show excerpts/snippets from documents matching the query.
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