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From "Chris A. Mattmann (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-1642) Integrate cTAKES into Tika
Date Mon, 08 Jun 2015 13:49:01 GMT

    [ https://issues.apache.org/jira/browse/TIKA-1642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14577210#comment-14577210
] 

Chris A. Mattmann commented on TIKA-1642:
-----------------------------------------

Sorry Nick was going to reformat this once I committed it (I have the code formatting in Eclipse,
but committed this from the command line), but honestly forgot. RE: the unit tests, yes, need
to do so on this, but ran into some trickiness with the classpath(s). Unit tests are a future
improvement here probably made easier when this becomes an ExternalParser.

> Integrate cTAKES into Tika
> --------------------------
>
>                 Key: TIKA-1642
>                 URL: https://issues.apache.org/jira/browse/TIKA-1642
>             Project: Tika
>          Issue Type: Improvement
>          Components: parser
>            Reporter: Selina Chu
>            Assignee: Chris A. Mattmann
>             Fix For: 1.9
>
>
> [~gostep] has written a preliminary version of [CTAKESContentHandler|https://github.com/giuseppetotaro/CTAKESContentHadler]
to integrate [Apache cTAKES|http://ctakes.apache.org/] into Tika.
> The CTAKESContentHandler allows to perform the following step into Tika:
> * create an AnalysisEngine based on a given XML descriptor;
> * create a CAS (Common Analysis System) appropriate for this AnalysisEngine;
> * populate the CAS with the text extracted by using Tika;
> * perform the AnalysisEngine against the plain text added to CAS;
> * write out the results in the given format (XML, XCAS, XMI, etc.).
> It would be great improvement if we can parse the output of cTAKES and create a list
of metadata which describes the terms found in the annotation index and their corresponding
tokens. For instance, using the AggregatePlaintextFastUMLSProcessor analysis engine, we can
utilize the UMLS database to obtain the annotations related to DiseaseDisorderMention, and
I would like to be able to produce a list of words corresponding to the input text which is
annotated as DiseaseDisorderMention.



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