• EXplainable and parsimonious, Preference models to get the most out of Inconsistent DAtabases

    Project Coordinator: Said Jabbour

    Scope: The project EXPIDA (EXplainable and parsimonious, Preference models to get the most out of Inconsistent DAtabases) aims to develop a series of principled and powerful methods to better analyze and particularly to explain the actions that we can take over uncertain and inconsistent data to get the most out from these data. A prototype systems based on symbolic AI to validate the effectiveness of the proposed approaches over the real-world database ASRS will be developped.

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  • WORK PACKAGES

    • WP1: Investigating rich semantics and inconsistency measures for inconsistent databases

      Task 1: Novel productive inconsistency querying semantics for databases.

      Task 2: Measuring inconsistency in databases.

      Task 3: Parsimonious and flexible preferencemodels for inconsistent databases.

    • WP2: Explanations for query (non-) answers under rich inconsistency-tolerant semantics

      Task 1: Models for Why Explanations.

      Task 2: Models for Why-Not explanations.

      Task 3: Prioritizing explanations.

    • WP3: Expanding the Synergies between Databases and Propositional Satisfiability

      Task 1: Novel SAT-based encoding for inconsistency management.

      Task 2: Construction of knowledge bases and relational databases.

      Task 3: Evaluation and Tools.

    • WP4: Project management and dissemination activities

      Task 1: Kick-off event and project management.

      Task 2: Dissemination and outreach activities.

      Task 3: Organisation of events.

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