The relational model with relation-valued attributes
Information Systems
SQL/NF: a query language for ¬ 1NF relational databases
Information Systems
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
A probabilistic relational model and algebra
ACM Transactions on Database Systems (TODS)
Advanced database systems
ProbView: a flexible probabilistic database system
ACM Transactions on Database Systems (TODS)
Principles of multimedia database systems
Principles of multimedia database systems
A relational model of data for large shared data banks
Communications of the ACM
Principles and Applications
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Efficient Processing of Nested Fuzzy SQL Queries in a Fuzzy Database
IEEE Transactions on Knowledge and Data Engineering
Fuzzy Database Query Languages and Their Relational Completeness Theorem
IEEE Transactions on Knowledge and Data Engineering
Deductive Entity Relationship Modeling
IEEE Transactions on Knowledge and Data Engineering
The Theory of Probabilistic Databases
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Elimination of semantic ambiguity in fuzzy relational models
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Handling complex and uncertain information in the ExIFO and NF2 data models
IEEE Transactions on Fuzzy Systems
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
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In this paper we present a fuzzy approach for image databases. We exploit the concept of NF2 relational model as a foundation for building image catalogues containing the semantic description of a given image database. New algebraic operators are defined in order to capture the fuzziness related to the semantic descriptors of an image. We compare our model to the First Normal Form annotated relation model, and show that in a number of interesting cases they can be considered equivalent, from the operational point of view, but in general NF2 relational model is more powerful, and provides a more suitable framework for dealing with uncertainties in image databases.