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Titlebook: Conceptual Modeling - ER ‘97; 16th International C David W. Embley,Robert C. Goldstein Conference proceedings 1997 Springer-Verlag Berlin H

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Extended SQL support for uncertain data,al methods have been proposed for incorporating uncertain data into relational databases; however, these approaches have many shortcomings. In this paper, we discuss a probabilistic extension of the relational model and propose a query language for creation, modification, and retrieval of uncertain data.
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Towards Digital Intelligence Societyt is defined, the operations of which operate on facts at the conceptual level. A data definition and manipulation language is defined based on the algebra and operates at the conceptual schema level rather than the database one, thus requiring little or no knowledge from the users about SQL or about how the database itself is organised.
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Ioannis Tomkos,Maria Spyropouloue is orthogonal to state-based constraint languages and it can be used as a supplement to these. Also, our language can be used in combination with all object-based or entity-based data models. We use examples to illustrate the use of the specification language.
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Erratum to: Towards Digital Optical Networksuirement of such paths being absent. It is shown that this requirement can be satisfied if the underlying set of constraints is . and that this is always the case for the structural constraints in Entity-Relationship and object oriented models. Moreover, in both cases there is no ambiguity for the selection of rules.
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Dragan Aleksić,Mihail Arandarenko a framework for structuring arguments. We argue that this architecture assists in building explanation generation systems that are highly interactive, provide an adequate amount of information for different user categories, and support a wide range of validation techniques.
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