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https://issues.apache.org/jira/browse/SOLR-2129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12925068#action_12925068
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Grant Ingersoll commented on SOLR-2129:
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bq. I can change the current hardcoded mapping mechanism using instead a simple
mapping between UIMA extracted types/features and field names defined inside
solrconfig.xml
Try to reuse the same syntax as the mapping in the ExtractingRequestHandler.
bq. A different option could be to develop a SolrCASConsumer component in UIMA
(similar to Lucas [1], Lucene CAS Consumer) providing full control on how UIMA
annotations and features can be mapped to Solr fields, but on UIMA side
I've been struggling with these kinds of questions a lot lately. That is, the
marriage of two projects. Where should the code go? Setting up another ASF
project is a pain in the amount of hoops to jump through. Apache Labs doesn't
cut it for a number of reasons. Hosting on Github or Google Code is OK, but
loses the ASF community aspect. Sigh.
bq. Regarding point 2 the jars are already under contrib/uima/lib so I can
modify the sample solrconfig.xml adding the proper <lib> tag.
Yep, exactly what I had in mind.
> Provide a Solr module for dynamic metadata extraction/indexing with Apache
> UIMA
> -------------------------------------------------------------------------------
>
> Key: SOLR-2129
> URL: https://issues.apache.org/jira/browse/SOLR-2129
> Project: Solr
> Issue Type: New Feature
> Reporter: Tommaso Teofili
> Assignee: Robert Muir
> Attachments: lib-jars.zip, SOLR-2129-asf-headers.patch,
> SOLR-2129.patch
>
>
> Provide components to enable Apache UIMA automatic metadata extraction to be
> exploited when indexing documents.
> The purpose of this is to get unstructured information "inside" a document
> and create structured metadata (as fields) to enrich each document.
> Basically this can be done with a custom UpdateRequestProcessor which
> triggers UIMA while indexing documents.
> The basic UIMA implementation of UpdateRequestProcessor extracts sentences
> (with a tokenizer and an hidden Markov model tagger), named entities,
> language, suggested category, keywords and concepts (exploiting external
> services from OpenCalais and AlchemyAPI). Such an implementation can be
> easily extended adding or selecting different UIMA analysis engines, both
> from UIMA repositories on the web or creating new ones from scratch.
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