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https://issues.apache.org/jira/browse/TIKA-1614?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14557791#comment-14557791
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Chris A. Mattmann commented on TIKA-1614:
-----------------------------------------
Just some minor cleanup and tests pass, patch about to be attached:
{noformat}
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Tika parent ................................. SUCCESS [ 1.516 s]
[INFO] Apache Tika core ................................... SUCCESS [ 20.335 s]
[INFO] Apache Tika parsers ................................ SUCCESS [02:27 min]
[INFO] Apache Tika XMP .................................... SUCCESS [ 2.535 s]
[INFO] Apache Tika serialization .......................... SUCCESS [ 2.583 s]
[INFO] Apache Tika batch .................................. SUCCESS [02:05 min]
[INFO] Apache Tika application ............................ SUCCESS [ 41.779 s]
[INFO] Apache Tika OSGi bundle ............................ SUCCESS [ 22.209 s]
[INFO] Apache Tika translate .............................. SUCCESS [ 3.316 s]
[INFO] Apache Tika server ................................. SUCCESS [ 22.884 s]
[INFO] Apache Tika examples ............................... SUCCESS [ 6.708 s]
[INFO] Apache Tika Java-7 Components ...................... SUCCESS [ 2.623 s]
[INFO] Apache Tika ........................................ SUCCESS [ 0.028 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 06:39 min
[INFO] Finished at: 2015-05-24T09:55:56-07:00
[INFO] Final Memory: 116M/1523M
{noformat}
> Geo Topic Parser
> ----------------
>
> Key: TIKA-1614
> URL: https://issues.apache.org/jira/browse/TIKA-1614
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Reporter: Anya Yun Li
> Assignee: Chris A. Mattmann
> Labels: memex
>
> ##Description
> This program aims to provide the support to identify geonames for any
> unstructured text data in the project NSF polar research.
> https://github.com/NSF-Polar-Cyberinfrastructure/datavis-hackathon/issues/1
> This project is a content-based geotagging solution, made of a variaty of NLP
> tools and could be used for any geotagging purposes.
> ##Workingflow
> 1. Plain text input is passed to geoparser
> 2. Location names are extracted from the text using OpenNLP NER
> 3. Provide two roles:
> * The most frequent location name choosed as the best match for the
> input text
> * Other extracted locations are treated as alternatives (equal)
> 4. location extracted above, search the best GeoName object and return the
> resloved objects with fields (name in gazetteer, longitude, latitude)
> ##How to Use
> *Cautions*: This program requires at least 1.2 GB disk space for building
> Lucene Index
> ```Java
> function A(stream){
> Metadata metadata = new Metadata();
> ParseContext context=new ParseContext();
> GeoParserConfig config= new GeoParserConfig();
> config.setGazetterPath(gazetteerPath);
> config.setNERModelPath(nerPath);
> context.set(GeoParserConfig.class, config);
>
> geoparser.parse(
> stream,
> new BodyContentHandler(),
> metadata,
> context);
>
> for(String name: metadata.names()){
> String value=metadata.get(name);
> System.out.println(name +" " + value);
> }
> }
> ```
> This parser generates useful geographical information to Tika's Metadata
> Object.
> Fields for best matched location:
> ```
> Geographic_NAME
> Geographic_LONGTITUDE
> Geographic_LATITUDE
> ```
> Fields for alternatives:
> ```
> Geographic_NAME1
> Geographic_LONGTITUDE1
> Geographic_LATITUDE1
> Geographic_NAME2
> Geographic_LONGTITUDE2
> Geographic_LATITUDE2
> ...
> ```
> If you have any questions, contact me: [email protected]
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