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