@inproceedings{tapp2011a,
    Abstract = {Provenance information is often used to explain query results
    and outcomes, exploit results of prior reasoning, and establish trust in
    data. The generality of the notion makes it applicable in a variety of
    domains, including data warehousing [7], curated databases [4], and
    various scientific applications. The recent introduction of causal
    reasoning in a database setting exploits provenance in ways that expand
    its applicability to more complex problems, and establish new directions,
    making a step towards achieving provenance's full potential. In this paper
    we explore through a variety of examples how causality improves on
    provenance information, discuss the challenges of building causality able
    systems, and propose some new directions.},
    Author = {Meliou, Alexandra and Gatterbauer, Wolfgang and Suciu, Dan},
    Booktitle = {3rd {USENIX} Workshop on the Theory and Practice of Provenance (TaPP)},
    Title = {\href{http://people.cs.umass.edu/ameli/projects/causality/papers/TaPP2011.pdf}{Bringing Provenance to its Full Potential Using Causal Reasoning}},
    Venue = {TaPP},
    address = {Heraklion, Greece},
    month = jun,
    Year = {2011}}