Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
: While some information modeling approaches (e.g. the Relational Model, and Object-Role Modeling) are typically formalized using first-order logic, other approaches to information...
The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each ca...
We perform a theoretical study of the following queryview security problem: given a view V to be published, does V logically disclose information about a confidential query S? The...