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https://issues.apache.org/jira/browse/SOLR-2129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12928531#action_12928531
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Tommaso Teofili commented on SOLR-2129:
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bq. Try to reuse the same syntax as the mapping in the ExtractingRequestHandler.
Inside <uimaConfig> there are many possible ways that configuration can be
defined.
Let's say we want to map the feature 'text' of type 'ConceptFS' on the field
'concept', I thought 3 options, listed here
1. exactly same syntax as ExtractingRequestHandler, though Solr-UIMA is not a
RequestHandler but an UpdateRequestProcessor; could this create confusion?
<lst name="defaults">
<str
name="fmap.org.apache.uima.alchemy.ts.categorization.concep...@text">concept</str>
</lst>
2. define the feature of a type to map over a field with one tag
<map field="concept"
feature="org.apache.uima.alchemy.ts.categorization.concep...@text"/>
3. have a more hierarchical and strict structure, though not so immediate to
understand and maybe easier for UIMA experts
<type name="org.apache.uima.alchemy.ts.categorization.ConceptFS">
<feature name="text">concept</feature>
</type>
What do you think?
Thanks for any advice,
Tommaso
> 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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