From Kolflow Project
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| | This complementarity is pointed out by the desire to build working applications: these latters require knowledge (that can be extracted from data and texts, with the help of an analyst) and the manipulation of this knowledge is done thanks to inference engines. But this complementarity is not to be considered as a simple juxtaposition: one of the main issues of Orpailleur is to integrate KD and KRR principles, methods, and technologies. The project Kolflow goes in the same direction and adds collaborative and human-machine aspects. Orpailleur has been a partner of the network of excellence Knowledge Web, dealing with ontology technology, a partner of the “ACI Masse de données” dedicated to astronomy, and is a partner of the ANR Vigiterm about pharmacovigilance. | | This complementarity is pointed out by the desire to build working applications: these latters require knowledge (that can be extracted from data and texts, with the help of an analyst) and the manipulation of this knowledge is done thanks to inference engines. But this complementarity is not to be considered as a simple juxtaposition: one of the main issues of Orpailleur is to integrate KD and KRR principles, methods, and technologies. The project Kolflow goes in the same direction and adds collaborative and human-machine aspects. Orpailleur has been a partner of the network of excellence Knowledge Web, dealing with ontology technology, a partner of the “ACI Masse de données” dedicated to astronomy, and is a partner of the ANR Vigiterm about pharmacovigilance. |
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Latest revision as of 16:23, 14 February 2011
Name : Orpailleur
Laboratory : LORIA
URL : http://www.loria.fr/research/equipes/orpailleur
Description :
Orpailleur is a joint research group of Henri Poincaré University Nancy 1, Nancy 2 University and INRIA Nancy - Grand Est.
The Orpailleur team works on the integration of two complementary axes of knowledge-based systems:
- Knowledge discovery (KD) from texts, data, and knowledge: text-mining, formal concept analysis, frequent closed itemset extraction, etc.;
- Knowledgerepresentationandreasoning(KRR):descriptionlogics,case-basedreasoning, minimal change theory, technologies of the semantic Web, etc.
This complementarity is pointed out by the desire to build working applications: these latters require knowledge (that can be extracted from data and texts, with the help of an analyst) and the manipulation of this knowledge is done thanks to inference engines. But this complementarity is not to be considered as a simple juxtaposition: one of the main issues of Orpailleur is to integrate KD and KRR principles, methods, and technologies. The project Kolflow goes in the same direction and adds collaborative and human-machine aspects. Orpailleur has been a partner of the network of excellence Knowledge Web, dealing with ontology technology, a partner of the “ACI Masse de données” dedicated to astronomy, and is a partner of the ANR Vigiterm about pharmacovigilance.
Tasks :
|
title |
| Task2 |
Continuous extraction, edition, and annotation |
| Task3 |
Inferences and Interactions for dealing with Semantic Inconsistencies |
Members :
