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Authors: Weronika T. Adrian ; Marek Adrian ; Krzysztof Kluza ; Bernadetta Stachura-Terlecka and Antoni Ligęza

Affiliation: AGH University of Science and Technology, al. A.Mickiewicza 30, 30-059 Krakow, Poland

Keyword(s): Knowledge Graphs, Semantic Networks, Knowledge Representation, KRR, Rules, Ontologies, Reasoning, Logic Programming, Answer Set Programming, Prolog.

Abstract: 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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Paper citation in several formats:
Adrian, W.; Adrian, M.; Kluza, K.; Stachura-Terlecka, B. and Ligęza, A. (2020). Extended Knowledge Graphs: A Conceptual Study. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 173-180. DOI: 10.5220/0010111601730180

@conference{keod20,
author={Weronika T. Adrian. and Marek Adrian. and Krzysztof Kluza. and Bernadetta Stachura{-}Terlecka. and Antoni Ligęza.},
title={Extended Knowledge Graphs: A Conceptual Study},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD},
year={2020},
pages={173-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010111601730180},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD
TI - Extended Knowledge Graphs: A Conceptual Study
SN - 978-989-758-474-9
IS - 2184-3228
AU - Adrian, W.
AU - Adrian, M.
AU - Kluza, K.
AU - Stachura-Terlecka, B.
AU - Ligęza, A.
PY - 2020
SP - 173
EP - 180
DO - 10.5220/0010111601730180
PB - SciTePress

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