Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
A probabilistic terminological logic for modelling information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Infomaster: an information integration system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Polynomial Algorithms for Projection and Matching
Proceedings of the 7th Annual Workshop on Conceptual Structures: Theory and Implementation
A Platform Allowing Typed Nested Graphs: How CoGITo Became CoGITaNT (Research Note)
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Implementing Fuzzy Querying via the Internet/WWW: Java Applets, ActiveX Controls and Cookies
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
IEEE Transactions on Fuzzy Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Conceptual Graphs as Cooperative Formalism to Build and Validate a Domain Expertise
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
Reference Fusion and Flexible Querying
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
The MIEL++ architecture when RDB, CGs and XML meet for the sake of risk assessment in food products
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Engineering Applications of Artificial Intelligence
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We present an information system developed to help assessing the microbiological risk in food. That information system contains experimental results in microbiology, mainly extracted from scientific publications. The increasing amount of the experimental results available and the difficulty to integrate them into a classic relational database schema led us to design a system composed of two distinct subsystems queried through a common interface. The first subsystem is a classic relational database. The second subsystem is a database containing weakly-structured pieces of information expressed in terms of conceptual graphs. The data stored in both bases can be fuzzy ones in order to take into account the specificities of the biological information. The uniform query language used on both relational database and conceptual graph database allows the users to express preferences by using fuzzy sets in their queries. The MIEL system is now operational and used by the microbiologists involved in the Sym'Previus French project.