Federated Knowledge Extraction (FOX) version 2.0.0

Dear all,

We are delighted to announce a new version of the Federated Knowledge 
Extraction Framework FOX [1]. FOX provides an architecture that allows 
using supervised machine learning to combine the results of knowledge 
extraction frameworks. Since the last version, we extended FOX to:
- Be more time-efficient
- Achieve better accuracy (we have gone past the magical threshold of 
90% F-measure on Named Entity Recognition and achieve up to 92% on 
locations and organizations as well as amost 98% on persons)
- Support more output formats (NIF, JSON, Annotea, etc.)
- Provide a light feature for users with almost real-time requirements
- Provide better entity disambiguation on DBpedia based on the AGDISTIS 
framework [2]

The new version has already been included into GeoLift [3], a framework 
for the automatic extension of RDF datasets with geo-spatial information 
created within the GeoKnow project [4].

Your feedback is more than welcome.

Best regards,
Rene and Axel on behalf of AKSW

[1] http://fox.aksw.org
[2] https://github.com/AKSW/AGDISTIS
[3] http://github.com/AKSW/GeoLift
[4] http://geoknow.eu

-- 
Axel Ngonga, Dr. rer. nat
Head of SIMBA/AKSW
Augustusplatz 10
Room P616
04109 Leipzig

Tel: +49 (0)341 9732341 <tel:%2B49%20%280%29341%209732341>
Fax: +49 (0)341 9732239 <tel:%2B49%20%280%29341%209732239>