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https://issues.apache.org/jira/browse/STANBOL-1128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rupert Westenthaler resolved STANBOL-1128.
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Resolution: Fixed
resolved with http://svn.apache.org/r1528716
The engine is included in the default build. Its available in both the stable
and the full launcher. A default configuration for FST linking against the
default dbpedia dataset was also added (chain name: dbpedia-fst-linking)
For more information and some performance statistics see
http://stanbol.markmail.org/thread/d7o5k44xbh4jwfjh
> Implement a Lucene FST based Entity Linking Engine (based on OpenSextant /
> SolrTextTagger)
> ------------------------------------------------------------------------------------------
>
> Key: STANBOL-1128
> URL: https://issues.apache.org/jira/browse/STANBOL-1128
> Project: Stanbol
> Issue Type: New Feature
> Components: Enhancement Engines
> Reporter: Rupert Westenthaler
> Assignee: Rupert Westenthaler
>
> This will implement an in-memory EntityLinking EnhancementEngine based on
> Lucenes FST (Finite State Transducer) technology.
> This engine could make direct use of the Classes contained in the OpenSextant
> / SolrTextTagger code [1]. This uses a two layered FST
> (1) to represent words and
> (2) to map those words to phrases
> With this it is possible to efficiently hold big vocabularies in memory (>
> 300MByte for geonames.org). See the presentation at [2] for more details.
> While the license is fully compatible (ASL 2.0) the library is currently not
> available on Maven Central. We need to contact the author regarding this.
> [1] https://github.com/OpenSextant/SolrTextTagger
> [2]
> http://www.lucenerevolution.org/2013/Text-Tagging-with-Finite-State-Transducers
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