Title :
The cooperative system for information retrieval
Author :
MekaOuche, Abdelouahab
Author_Institution :
IRIN, Nantes Univ., France
Abstract :
We describe our information retrieval system which allows a convivial access to databases. It is based on a multi-expert architecture using a database management system and a blackboard to control the progressive analysis of the user´s sentence. We have integrated a numerical method based on fuzzy rules to deal with uncertainty. This method is used to optimize the analysis process and the cooperation between the different experts. On the other hand, the goal of our recent research is to ease or eliminate the knowledge-acquisition bottleneck for expert system creation and to make a connectionist model behave as much as possible like an expert system. We describe our experience using neural networks to represent the knowledge bases of the different experts (i.e., lexical entries expert, homographs expert, template expert, grammatical word expert and words expert)
Keywords :
blackboard architecture; cooperative systems; database management systems; expert systems; fuzzy logic; information retrieval; knowledge acquisition; neural nets; uncertainty handling; blackboard architecture; connectionist model; cooperative system; databases; expert system; fuzzy rules; information retrieval; information retrieval system; knowledge acquisition bottleneck; knowledge representation; machine learning; multi-expert architecture; neural networks; numerical method; sentence analysis; uncertainty handling; Artificial intelligence; Control systems; Cooperative systems; Data mining; Databases; Expert systems; Information retrieval; Machine learning; Management information systems; Uncertainty;
Conference_Titel :
Computer Science Society, 2000. SCCC '00. Proceedings. XX International Conference of the Chilean
Conference_Location :
Santiago
Print_ISBN :
0-7695-0810-3
DOI :
10.1109/SCCC.2000.890409