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From Owen Densmore <>
Subject php/lucene integration: SFI working papers visualization
Date Wed, 06 Apr 2005 00:47:43 GMT
Hi folks.  As promised, here is the first beta access to the php/lucene  
work we were discussing earlier.

The url to the php front-end to the SFI working papers Lucene search is:
This provides a fairly simple search dialog, returning a list of  
relevant documents.

The paragraph style returned data has links for continued searching on  
much of the data within the document's meta data: Authors, Keywords,  
and a similarity search .. similar documents.  It also has a "Browse  
paper in context" icon which launches a Flash graphical navigation  
tool.  It also has links into the rest of the SFI site: pdf/postscript  
for the papers, and an abstract page.

The "similar documents" search is a generalization of the example in  
the book by Erik and Otis: use a document's contents to form a  
secondary search.  Our default is authors^2 & all text.  But we've  
generalized it "inside" so that any primary search can be broken into  
any secondary search.  Thus simply using authors is a "co-author"  
similarity search.

The servlet is available via:
It provides only raw text, all formatting and adaption to other web  
tools (Flash etc) is done via php.  Many capabilities of the servlet  
are not available via php at this point.  We default everything so that  
errors are minimized.  Thus beaming into the url w/o any parameters  
returns a canned search.  Note that it returns more than one search --  
a batch search of many searches is one of the servlets features.

This should let folks play with the critter.  Let us know if you find  
bugs or odd behaviors .. or find it useful even!  :)

	-- Owen

Owen Densmore - - -

Here are some details for those interested.

The meta data fields available are:
Number       Working paper number
Title        Working paper title
Author       Comma separated list of Authors
Abstract     Working paper abstract.
Keywords     Comma separated list of keyphrases
Format       Specifies availability of pdf, ps, none

We "manufacture" a few more fields from the above:
Text         Fake field: Title+Keywords+Abstract
All          Fake field: All .. "Text"+Number+Author+Format
Date         Fake field: YYYY/MM from Number

We typically just search All, augmenting with "Author:Crutchfield" if  
we want a specific field included in the search.  We use the built-in  
query parser.

The php interface does not provide an abstract but that can be done  
through the servlet "api".  For example, this search: 
..would return Jim Cruchfield's 55 abstracts, along with the rank and  
paper number.  Boy, is it FAST!

The URL api is:
cmd=search   Perform a search using params below.  Results
              have a search header with the query and number of hits,
			 followed by the individual search results unless the "p"
			 parameter is used.
    =debug    Print diagnostic info
    =like     Return documents that are like the document given in the
              s=Number:xxx search string.  Note the search string must be
			 fully specified, due to the default search field, f= being
			 used to specify how the similarty search is performed.  I.e.
			 the similarity search is done with a search string of
			 <default field>:<contents of that field for the document>
			 The parameters (l=,p=,M=,m=) can be used to control the return
			 format and quanity.  See examples below.  This command is fine
			 for now, but is "in beta" and could revert to use of document
			 term vectors.
s=Searches (| separated list)
              A set of N searches to be made, separated by the |  
              The search to use for the "like" command.  It has three  
			 separated by "|".  The first is a search, formatted like a print
			 field (p=) below, constructed from the parts of the first search.
			 The second and third parts are a minRank, maxResults pair to
			 be applied during the second search.  As an example:
			     s2=Author([Author])^2 Text([Text])|0.01|100
		     would use the Authors and Text fields of the first search (s=)
			 to construct the second search, using a minRank, maxResults
			 of 0.01 and 100.  The results are formatted according to the
			 p= field below, generally "matrix".
p=PrintField|PrintFormat with PrintTags|"matrix"
              If a field name is provided, search results are printed as:
			 If the printField contains any []'s, the search results are
			 custom formatted using tags.  Thus "[Number]" would return just
			 the number for the search.
    =matrix   Return matrix of hits for N searches.  Results have a  
	         with N queries/labels, tab separated, preceeded by an  
			 "DocNo." label.  The search results have the doc number followed
			 by N ranks, tab separated, corresponding to scores for
			 each doc for each search.  A 0 means no hit.  Note each line has
			 N+1 entries.  If a l=xx parameter is given with N entries, then
			 "DocNo." is defaulted to the first label.  If the l=xx parameter
			 has N+1 entries, then no defaulting is done.
f=searchField|SearchFormat with SearchTags
              Default search field if not specified in the s= searches
			 parameter.  Used by Lucene's query parser for unspecified
			 search fields.
l=Search Labels
              Replacements for actual search queries in the search  
			 header line.
M=Max number of returned hits (integer)
m=min rank for returned hits (float)

PrintTags (used in p=xx commands)
[<Field>]    Returns text of any named field, including manufactured  
[Rank]       Returns n.nn of the search rank

SearchTags (used in l=xx commands)
[Hits]       num hits returned by lucene w/o minRank, MaxNumber applied
[Query]      The search query string

- All API parameters are defaulted so that any request should work
- All Lucene fields are indexed as free text.  This can cause subtle
   problems, but generally is easily managed via ""s and similar search
- The secondary search used by "like" adds quotes for Keywords and  
   "Stuart A. Kauffman" "digital communities", for example.  It also  
   the All Text Abstract Title fields, creating a much smaller search  

Example searches -- use
Find Crutchfield's searches, printing rank, Number, Keywords.
Note "cmd=search" can be left off, search is the default.
	?cmd=search&s=Author:"James P. Crutchfield"&p=Keywords
Return a matrix format for three searches
Perform a 3 search batch with custom formatting of results
Perform similarity search for documents similar to 1990001 based on  
Dump everything!

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