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From "Andreas Kahl" <Andreas_K...@gmx.net>
Subject How to process structured input with UIMA?
Date Wed, 02 Mar 2011 10:14:45 GMT
Hello everyone, 

I am currently evaluating UIMA as a possible unified document processing framework for our
data. On the one hand we need to process large, unstructured texts (language detection, linguistic
normalization, entity extraction etc.), on the other hand we have millions of structured Metadata-Records
to process. 

Mainly I am concerned with the latter: 
Those metadata-records would come in as XML with dozens of fields containing relatively short
texts (most less than 255chars). We need to perform NLP (tokenization, stemming ...) and some
simpler manipulations like reading 3 fields and constructing a 4th from that. 
It would be very desirable to use one Framework for both tasks (in fact we would use the pipeline
to enrich the Metadata-Records with the long texts). 

Reading the documentation I can imagine three different ways to process structured (XML-)documents:
1. Find some way to add multiple text fields into one CAS, so a CAS-Processor (Analysis Engine)
can access multiple of those fields at a time and manipulate them. (not cas.setDocumentText()
- as I understand this would imply to have only one input field) Is there an Interface in
the Collection Processing Engine to map XML-Fields to CAS-Fields?
2. Or am I better off using multiple CAS-Views? (but the XML-Fields are not different representations
of the same content, they contain disjunct categories like author or title)
3. Is there possibly some smart way to generate multiple Sub-CASes, each containing one field?

In cases 2 and 3 I am unsure whether my Analysis Engines would still be able to access multiple
fields at once. 

Which of those are feasible at all, and which would you recommend to use? 

Thanks for any hints or experiences. 


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