HomeNational Research MapsLogosContactAdmin Login

Login

Insert
Update

Search
Show all
Show All

GEOLSemantics

Street
ZIP
City
Country
Phone
Email
Homepage
Organisation Type
Employees

12 avenue Raspail
94250
Gentilly
France
+33 6 81 01 01 08
christian.fluhr@geolsemantics.com
http://www.geolsemantics.com
SME
1-10

 

Contact person

Dr. Christian Fluhr (CTO)

Field of Activity


6. INFORMATION & COMMUNICATION TECHNOLOGIES
» ICT applications
» Intelligence systems
» Artificial intelligence/robotics
» Software, Data Processing

Core competencies

GEOLSemantics is an SME specializing in automatic semantic extraction from texts (or transcribed
speech) in different languages (French, English, Arabic (standard and dialects from the Maghreb and
Egypt) and Chinese (Mandarin).
The technology is based on a general purpose deep morphosyntactic analysis recognizing and
normalizing words (simple or compound), recognizing named entities, building dependency relations,
assimilating passive and active forms, treating negation, finding referent of pronouns, detecting
tenses and modalities of actions.
The knowledge extraction is application-dependent. The application is described in an ontology.
Extractions rules are written to extract the knowledge according to the ontology. GEOLSemantics has
developed an ontology and extraction rules for the security.
GEOLSemantics has been the leader of the SAIMSI project (Suivi Adaptatif Interlingue et MultiSources
des Informations), the main French-funded project focused on the extraction of information about
the activities of persons suspected of illegal acts, especially jihadist terrorism. GEOLSemantics is
currently the leader of the ORELO project aiming at detecting the dialectal origin of writers or
speakers. In the ORELO project, GEOLSemantics has developed dictionaries of dialects that extend
the robustness of its treatment of Arabic containing dialectal elements. The project also required
GEOLSemantics to expand its capabilities to include processing Arabic (standard or dialect) written
using latin characters, a format commonly found on the web.

H2020 Research Focus


RTD Experience

 Project CoordinatorProject PartnerProject Acronyms
National Security Research ProjectsSAIMSI extracting knowledge about illegal activities of
persons in English, French, Arabic and chinese.
Especially terrorism oriented
Other Security Research Projects ORELO: detection of the arabic dialect on speech, texts
written in arabic or latin characters based on dialect
dictionaries


Inserted / Updated
2014-07-24 / 2014-07-25