@inproceedings{465f6c0011ff453aa682fa1ddd628203,
title = "Revisiting the formal foundation of Probabilistic Databases",
abstract = "One of the core problems in soft computing is dealing with uncertainty in data. In this paper, we revisit the formal foundation of a class of probabilistic databases with the purpose to (1) obtain data model independence, (2) separate metadata on uncertainty and probabilities from the raw data, (3) better understand aggregation, and (4) create more opportunities for optimization. The paper presents the formal framework and validates data model independence by showing how to a obtain probabilistic Datalog as well as a probabilistic relational algebra by applying the framework to their non-probabilistic counterparts. We conclude with a discussion on the latter three goals.",
keywords = "Formal foundation, Probabilistic databases, Probabilistic Datalog, Probabilistic relational algebra",
author = "Brend Wanders and {van Keulen}, Maurice",
year = "2015",
month = jun,
day = "30",
doi = "10.2991/ifsa-eusflat-15.2015.43",
language = "English",
isbn = "978-94-62520-77-6",
series = "Advances in Intelligent Systems Research",
publisher = "Atlantis Press",
pages = "47",
booktitle = "Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, IFSA-EUSFLAT 2015",
address = "Netherlands",
note = "2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, IFSA-EUSFLAT 2015 ; Conference date: 30-06-2015 Through 03-07-2015",
}