no code implementations • 4 Mar 2024 • Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
Ensuring Conditional Independence (CI) constraints is pivotal for the development of fair and trustworthy machine learning models.
1 code implementation • 22 Mar 2023 • Marco Calautti, Mostafa Milani, Andreas Pieris
In this work, we focus on the semi-oblivious version of the chase, which is well-suited for practical implementations, and linear existential rules, a central class of constraints with several applications.
no code implementations • 2 Aug 2021 • Leopoldo Bertossi, Mostafa Milani
We propose a bottom-up QA algorithm for programs in the class sch(S), for a general selection function S. As a particular case, we obtain a polynomial-time QA algorithm for JWS and weakly-sticky programs.
no code implementations • 1 Apr 2017 • Leopoldo Bertossi, Mostafa Milani
Data quality assessment and data cleaning are context-dependent activities.
no code implementations • 10 Mar 2017 • Leopoldo Bertossi, Mostafa Milani
In this extended abstract we describe, mainly by examples, the main elements of the Ontological Multidimensional Data Model, which considerably extends a relational reconstruction of the multidimensional data model proposed by Hurtado and Mendelzon by means of tuple-generating dependencies, equality-generating dependencies, and negative constraints as found in Datalog+-.
no code implementations • 10 Jul 2016 • Mostafa Milani, Leopoldo Bertossi
We apply the magic-sets rewriting in combination with the proposed QA algorithm for the optimization of QA over JWS programs.
no code implementations • 22 Apr 2016 • Mostafa Milani, Andrea Cali, Leopoldo Bertossi
Datalog+/- is a family of ontology languages that combine good computational properties with high expressive power.
no code implementations • 13 Apr 2015 • Mostafa Milani, Leopoldo Bertossi
We consider a semantic class, weakly-chase-sticky (WChS), and a syntactic subclass, jointly-weakly-sticky (JWS), of Datalog+- programs.