Handbook of theoretical computer science (vol. B)
On the decidability of query containment under constraints
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The Unified Modeling Language user guide
The Unified Modeling Language user guide
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Uncertainty Management in Information Systems: From Needs to Solutions
Uncertainty Management in Information Systems: From Needs to Solutions
Why significant UML change is unlikely
Communications of the ACM
Description Logics in Data Management
IEEE Transactions on Knowledge and Data Engineering
Extending Relational Data Access Programming Libraries for Fuzziness: The fJDBC Framework
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Designing Fuzzy Relations in Orthogonal Persistence Object-Oriented Database Engines
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Temporal ER Modeling with Description Logics
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
Reasoning with UML Class Diagrams
WIFT '98 Proceedings of the Second IEEE Workshop on Industrial Strength Formal Specification Techniques
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Extending object-oriented databases for fuzzy information modeling
Information Systems - Databases: Creation, management and utilization
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
Reasoning with very expressive fuzzy description logics
Journal of Artificial Intelligence Research
Reasoning in expressive description logics with fixpoints based on automata on infinite trees
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Generalizing term subsumption languages to fuzzy logic
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Reasoning technique for extended fuzzy ALCQ
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Towards a fuzzy description logic for the semantic web (preliminary report)
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Fuzzy ontology representation using OWL 2
International Journal of Approximate Reasoning
Short communication: A note on truth value in uncertain logic
Expert Systems with Applications: An International Journal
Representation and reasoning of fuzzy ER models with description logic DLR
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
UML is the most widely accepted formalism for the analysis and design of software. Recent proposals to improve the ability of reasoning automatically on UML models. However, information imprecision and uncertainty exist in many real-world applications and hence fuzzy UML models have been extensively investigated. In this paper, we propose a description logic approach to represent and reason on fuzzy UML models. Firstly, for the specific purposes of representing and reasoning on fuzzy UML models, a fuzzy description logic called FDLR (fuzzy DLR) is introduced. Moreover, we further investigate the reasoning problems and reasoning algorithms for FDLR. Then, the fuzzy UML model is investigated, and a kind of formal definition of fuzzy UML models is proposed. Furthermore, representation and reasoning of fuzzy UML models with FDLR is investigated, i.e., we first consider the fuzzy UML model and the corresponding fuzzy UML instantiations (i.e., object diagrams) simultaneously, and translate them into FDLR knowledge bases at both terminological (TBox) and assertional (ABox) levels, respectively; then how the reasoning problems of fuzzy UML models (e.g., consistency, subsumption, logical consequence, and so on) may be reasoned through reasoning mechanism of FDLR is investigated. The formalization in FDLR of fuzzy UML models makes a significant improvement and it is the first step towards developing intelligent systems that provide computer aided support during the application design phase in order to automatically detect relevant properties of fuzzy UML models.