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Posted to dev@lucene.apache.org by "Tim Allison (JIRA)" <ji...@apache.org> on 2017/10/10 18:41:00 UTC

[jira] [Comment Edited] (LUCENE-5317) Concordance/Key Word In Context (KWIC) capability

    [ https://issues.apache.org/jira/browse/LUCENE-5317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16199160#comment-16199160 ] 

Tim Allison edited comment on LUCENE-5317 at 10/10/17 6:40 PM:
---------------------------------------------------------------

A prototype ASL 2.0 application that demonstrates the utility of the concordance is available: https://github.com/mitre/rhapsode


was (Author: tallison@mitre.org):
an prototype ASF 2.0 application that demonstrates the utility of the concordance is available: https://github.com/mitre/rhapsode

> Concordance/Key Word In Context (KWIC) capability
> -------------------------------------------------
>
>                 Key: LUCENE-5317
>                 URL: https://issues.apache.org/jira/browse/LUCENE-5317
>             Project: Lucene - Core
>          Issue Type: New Feature
>          Components: core/search
>    Affects Versions: 4.5
>            Reporter: Tim Allison
>            Assignee: Tommaso Teofili
>              Labels: patch
>         Attachments: LUCENE-5317.patch, LUCENE-5317.patch, concordance_v1.patch.gz, lucene5317v1.patch, lucene5317v2.patch
>
>
> This patch enables a Lucene-powered concordance search capability.
> Concordances are extremely useful for linguists, lawyers and other analysts performing analytic search vs. traditional snippeting/document retrieval tasks.  By "analytic search," I mean that the user wants to browse every time a term appears (or at least the topn)  in a subset of documents and see the words before and after.  
> Concordance technology is far simpler and less interesting than IR relevance models/methods, but it can be extremely useful for some use cases.
> Traditional concordance sort orders are available (sort on words before the target, words after, target then words before and target then words after).
> Under the hood, this is running SpanQuery's getSpans() and reanalyzing to obtain character offsets.  There is plenty of room for optimizations and refactoring.
> Many thanks to my colleague, Jason Robinson, for input on the design of this patch.



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