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Section: Overall Objectives

Main Challenges

GraphIK focuses on some of the main challenges in KRR:

  • ontological query answering, i.e., query answering taking an ontology into account, and able to process large datasets;

  • reasoning with rule-based languages;

  • dealing with heterogeneous and with hybrid knowledge bases (i.e. composed of several modules that have their own formalism and reasoning mechanisms);

  • reasoning with “imperfect knowledge” (i.e. vague, uncertain, partially inconsistent, multi-viewpoints and/or with multi-granularity).