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Authors: Anderson Rossanez 1 ; Ricardo Torres 2 ; 3 and Julio Reis 1

Affiliations: 1 Institute of Computing, University of Campinas, Campinas, SP, Brazil ; 2 Agricultural Biosystems Engineering and Wageningen Data Competence Center, Wageningen University & Research, Wageningen, The Netherlands ; 3 Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Ålesund, Norway

Keyword(s): Knowledge Graphs, Complex Networks, Centrality Measurements.

Abstract: Knowledge Graphs have been established as one the most relevant representations to encode knowledge, with relevant applications in the public and private sectors. One common research direction concerning the analysis of created knowledge graphs relies on the assumption that their intrinsic properties and structure are similar to what is observed in complex networks. However, studies concerning identifying typical complex network structures in knowledge graphs are lacking in the literature. This paper bridges this gap by analyzing commonly and recently used knowledge graphs in the semantic web field, seeking to demonstrate their complex network properties. Evaluation involving DBpedia and Wikidata data confirms the occurrence of intrinsic complex network structures in their respective knowledge graphs.

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Paper citation in several formats:
Rossanez, A.; Torres, R. and Reis, J. (2023). Characterizing Complex Network Properties of Knowledge Graphs. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD; ISBN 978-989-758-671-2; ISSN 2184-3228, SciTePress, pages 119-128. DOI: 10.5220/0012257300003598

@conference{keod23,
author={Anderson Rossanez. and Ricardo Torres. and Julio Reis.},
title={Characterizing Complex Network Properties of Knowledge Graphs},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD},
year={2023},
pages={119-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012257300003598},
isbn={978-989-758-671-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
TI - Characterizing Complex Network Properties of Knowledge Graphs
SN - 978-989-758-671-2
IS - 2184-3228
AU - Rossanez, A.
AU - Torres, R.
AU - Reis, J.
PY - 2023
SP - 119
EP - 128
DO - 10.5220/0012257300003598
PB - SciTePress

- Science and Technology Publications, Lda.
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