Fuzzy querying in conventional databases
Fuzzy logic for the management of uncertainty
CDOL: a comprehensive declarative object language
Data & Knowledge Engineering
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Deductive database languages: problems and solutions
ACM Computing Surveys (CSUR)
Maintaining knowledge about temporal intervals
Communications of the ACM
ADOME: An Advanced Object Modeling Environment
IEEE Transactions on Knowledge and Data Engineering
IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture
IEEE Transactions on Knowledge and Data Engineering
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Preface to the special issue on advances in fuzzy database technology: Introduction
International Journal of Intelligent Systems
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
OWL-QL-a language for deductive query answering on the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
XDO2: a deductive object-oriented query language for XML
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Uncertainty management issues in the object-oriented data model
IEEE Transactions on Fuzzy Systems
A fuzzy knowledge-based system for intelligent retrieval
IEEE Transactions on Fuzzy Systems
On database queries involving inferred fuzzy predicates
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
A fuzzy-rule-based approach to the handling of inferred fuzzy predicates in database queries
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
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Many new database applications require intelligent information management to satisfy different users' query demands. One way to convert conventional database systems to intelligent information systems is to enhance them with a rule-based system. On the other hand, fuzziness becomes unavoidable for some applications and therefore both the database and rule- based systems should handle fuzziness existing in data and queries. This study explains how a fuzzy rule-based system integrated to a fuzzy spatial, temporal or multimedia database improves the query capabilities of the database system intelligently. Fuzzy query types that can be supported by the rule-based system to improve querying power are discussed.