Extended Knowledge Graphs: A Conceptual Study

Weronika Adrian, Marek Adrian, Krzysztof Kluza, Bernadetta Stachura-Terlecka, Antoni Ligęza


The amount and variety of data that we produce every day pose a constant challenge for meaningful information processing. While knowledge graphs have gained a considerable attention in the recent years, due to their flexible and universal knowledge representation, they lack the mechanisms facilitating knowledge processing. In this paper, we propose an information system called extended knowledge graphs (EKG) that augments the concept of knowledge graphs with procedural attachments. We put forward the requirements and assumption of the EKG structure and present a categorisation of supported reasoning tasks.


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