As you have seen the example code for PartOfSpeechTaggingFilter at
http://lucene.apache.org/java/3_0_0/api/core/org/apache/lucene/analysis/package-summary.html
You can use a custom analyzer to inject "metadata" tokens into the index at
the same position as the source tokens.
For example, given the text:
The cat jumped over the dog
your analyzer could emit tokens:
[the] [cat,_posNoun] [jumped,_posVerb] [over] [the]
[dog,_posNoun]
where the "_pos...." tokens have a zero position increment to effectively
associate them with the term to which they relate (this is how the example
SynonymTokenizer in the highlighter
package works). The "_pos" prefix is used as a uniquefier for metadata
tokens to avoid any name-clashes with any real content tokens.
Theoretically you could then construct queries where the queries mixed both
data and your part-of-speech metadata eg you could use the position
information based queries to find out
what things normally have a particular verb applied to them:
"jumped _posNoun"~3
or what verbs are commonly associated with a dog (caution advised here):
"_posVerb the dog"~3
or to use an ambiguous word in a particular context/sense
"_posVerb track"~1
-----
Thanx:
Grijesh
www.gettinhahead.co.in
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