Thanks for the response. However the way I see it is more along the lines Apache Stanbol:
Provides A set of engines/enhancers that can be assembled into a text analytics pipelines to - Detect Content types and Language Types - Extract named Entities - Categorise using a Ontology - Determine basic sentiment of Tokens Apply NLP, Rules and reasoners as part of the pipeline Persists semantic attributes associated with Text/content documents Update Solr/Lucene indexes to allow semantic search UMIA Provides a Framework (reduced coding) for assembling text analytics pipelines Provides a limited set of Engines/annatators that can be used in the pipeline Provides tools for applying rules for semantically marking up of text Used to persist semantic attributes with Text/Content documents to a Third Party Application or Store, which could be Apache Stanbol Update Search/Retrieval mechanisms such as Solr/Lucene Is this accurate? -----Original Message----- From: Alfredo Serafini [mailto:[email protected]] Sent: 16 May 2013 09:52 To: [email protected] Subject: Re: Apache Stanbol vs Apache UIMA? hi basically UIMA is a general framework for different machine-learning task (more similar to Weka than Stanbol), since Stanbol is mostly oriented on Named Entity recognition, specifically. Since Stanbol is based on Solr, which can be connected to UIMA, you can additionally think about using together Stanbol and UIMA in some way (i didn't try this, but i think it's possible) 2013/5/16 Mike Kimber <[email protected]> > Can anyone articulate for me the difference between Apache Stanbol > Apache UIMA? They seem to do roughly the same thing from what I can > tell , however it also seems they can be used together so I'm a bit confused. > > Any help clarifying the above will be much appreciated > > Thanks Mike > > >
