Developer Forum,
I am looking to expand our users' queries using a thesaurus. We are using
search:search with an extensive options node. I am looking to avoid having to
recreate all parsing structures using string processing. Although string-join
may work for simple queries, it becomes considerably more difficult when
contending with nested sets (parenthesis), phrases (quotes, beginning and
ending), and Boolean/other operators. Subsequently, I was hoping to use
search:parse -> thsr:expand/thsr:query-lookup -> search:unparse. However, I am
running into mixed-content type and annotation errors. This is basically what I
am trying to do:
let $q := <q>"tile drainage" AND (phosphorous OR nitrogen)</q>
let $qparsed := search:parse($q,$OPTIONS)
let $qexpanded := thsr:query-lookup("/myThsrDocs/NALT3.xml",$qparsed)
let $qout := search:unparse(search:parse($qexpanded,$OPTIONS))
return $qout
Is there a way to do this?
So you don't have to see our options node, $qparsed equals
'
<cts:and-query qtextjoin="AND" strength="20"
xmlns:cts="http://marklogic.com/cts";>
<cts:word-query qtextpre=""" qtextref="cts:text" qtextpost=""">
<cts:text>tile drainage</cts:text>
<cts:option>punctuation-sensitive</cts:option>
<cts:option>case-insensitive</cts:option>
<cts:option>wildcarded</cts:option>
</cts:word-query>
<cts:or-query qtextjoin="OR" strength="10">
<cts:word-query qtextref="cts:text">
<cts:text>phosphorous</cts:text>
<cts:option>punctuation-sensitive</cts:option>
<cts:option>case-insensitive</cts:option>
<cts:option>wildcarded</cts:option>
</cts:word-query>
<cts:word-query qtextref="cts:text">
<cts:text>nitrogen</cts:text>
<cts:option>punctuation-sensitive</cts:option>
<cts:option>case-insensitive</cts:option>
<cts:option>wildcarded</cts:option>
</cts:word-query>
</cts:or-query>
</cts:and-query>
'
Thank you,
Matthew
______________________________________
Matthew Treskon
Digital Services Librarian--DigiTop
National Agricultural Library
US Department of Agriculture, ARS
[email protected]
765-494-8692 (Phone)
765-494-1705 (Fax)
...advancing access to global
information for agriculture.
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