Loredana Caruccio

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Despite many innovative systems supporting the data integration process, designers advocate more abstract metaphors to master the inherent complexity of this activity. In fact, the visual notations provided in many modern data integration systems might run into scale up problems when facing the integration of big data sources. Thus, higher level visual(More)
Functional dependencies (fds) express important relationships among data, which can be used for several goals, including schema normalization and data cleansing. However, to solve several issues in emerging application domains, such as the identification of data inconsistencies or patterns of semantically related data, it has been necessary to relax the fd(More)
One of the problems arising upon the evolution of a database schema is that some queries and views defined on the previous schema version might no longer work properly. Thus, evolving a database schema entails the redefinition of queries and views to adapt them to the new schema. Although this problem has been mainly raised in the context of traditional(More)
Many modern application contexts, especially those related to the semantic Web, advocate for automatic techniques capable of extracting relationships between semi-structured data, for several purposes, such as the identification of inconsistencies or patterns of semantically related data, query rewriting, and so forth. One way to represent such(More)
Nowadays, enterprises often need to integrate heterogeneous data sources for many purposes. Given the inherent complexity of this process, several solutions based on visual manipulation paradigms have been proposed to shoot at the complexity of low-level data integration activities. However, when dealing with complex data sources the use of visual notations(More)