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 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).