An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
The mathematics of inheritance systems
The mathematics of inheritance systems
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
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Fault-tolerant database using distributed associative memories
Information Sciences: an International Journal
Logic and Databases: A Deductive Approach
ACM Computing Surveys (CSUR)
Semantic Networks: An Evidential Formalization and Its Connectionist Realization
Semantic Networks: An Evidential Formalization and Its Connectionist Realization
A knowledge-based method for inferring semantic concepts from visual models of system behavior
ACM Transactions on Software Engineering and Methodology (TOSEM)
Knowledge-Based Automation of a Design Method for Concurrent Systems
IEEE Transactions on Software Engineering
Ontologies as an interface between different design support systems
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
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Two models, one originating from an artificial-intelligence paradigm and the other from database research, that incorporate connectionist techniques into their knowledge representation and reasoning processes are described. The first approach, called evidential reasoning, is based on semantic networks and focuses on solving inheritance and recognition queries using a rich internal structure. The second approach, called the associative relational database, provides a query language to manipulate knowledge stored in simple uniform structures. In addition to solving ordinary information retrieval, associative databases support robust retrieval with imprecise queries, which is impossible in traditional databases. The two modeling techniques are compared.