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Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
Both Topic Maps and RDF are popular semantic web standards designed for machine processing of web documents. Since these representations were originally created for different purpo...
The design of the POSTGRES data model is described. The data model is a relational model that has been extended with abstract data types including user-defined operators and proce...
Object-oriented data models are receiving wide attention since they provide expressive ionmechanismsto model naturally and directly both structural and behavioral aspectsof comple...
TSIMMIS—TheStanford-IBMManagerofMultipleInformationSources—isasystemforintegrating information. It offers a data model and a common query language that are designed to support ...
We describe a (meta) formalism for defining a variety of (object oriented) data models in a unified framework based on a variation of first-order logic. As specific example we use...
Starting from a graphical data model (a subset of the OMT object model), a skeleton of formal specification can be generated and completed to express several constraints and provi...
In this article, we present the GI-Cat web service: a SOAP-based service which provides the basic functionalities for GI dataset cataloguing and access. The introduced GI-Cat data...
Lorenzo Bigagli, Stefano Nativi, Paolo Mazzetti, G...
Data exchange between heterogeneous schemas is a difficult problem that becomes more acute if the source and target schemas are from different data models. The data type of the obj...
Derived horizontal fragmentation is one of the main database distribution design techniques. Unlike primary horizontal fragmentation, the decision of derived horizontal fragmentat...