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https://issues.apache.org/jira/browse/OODT-652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13754116#comment-13754116
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Rishi Verma commented on OODT-652:
----------------------------------

Hmm.. interesting idea!

I've thought about integrating this somehow with StdProductCrawler, such that 
the user can quickly ingest a product with some very useful metadata without 
having to write or configure any extractors. Plugging this into a crawler 
action could definitely be a way to do that. Thanks for the idea! 

>  i not sure why a new metadata extractor is need for this though...

The Tika extractor was necessary for me via the command-line (outside of the 
crawler framework). This is why it exists as a separate extractor. No reason to 
not integrate it further into the crawling framework though (as you suggested!).

Rishi

                
> New TikaCmdLineMetExtractor
> ---------------------------
>
>                 Key: OODT-652
>                 URL: https://issues.apache.org/jira/browse/OODT-652
>             Project: OODT
>          Issue Type: New Feature
>          Components: metadata container
>    Affects Versions: 0.6
>            Reporter: Rishi Verma
>            Assignee: Rishi Verma
>             Fix For: 0.7
>
>         Attachments: extractor-config.properties, 
> OODT-652.rverma.08-27-2013.patch.txt
>
>
> Often times, we want to ingest a product and have some basic metadata 
> automatically extracted from it without much effort. The Apache Tika project 
> has great features supporting the detection of and extraction of metadata 
> associated with a product to this effect. The purpose of this issue is to 
> integrate these metadata extraction capabilities of Tika, so that OODT can 
> easily leverage and make use of them. 
> At a minimum, this issue seeks to:
> * Incorporate and use Tika's 'parse' method to extract metadata automatically
> * Include the text content (if any) of a document inside a new metadata 
> element dubbed 'content'. This will be useful for lucene and solr based 
> free-text searches

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