On Dependencies in Knowledge Graph Construction

Eduard Kamburjan; Romana Pernisch; Óscar Corcho; David Chaves-Fraga

On Dependencies in Knowledge Graph Construction

Eduard Kamburjan
, Romana Pernisch
, Óscar Corcho
, David Chaves-Fraga

Vrije University Amsterdam
Polytechnic University of Madrid
University of Santiago de Compostela

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Knowledge graph construction (KGC) requires numerous assets, such as shapes or mappings, to interact correctly.
However, maintenance and assessment of the quality of the pipeline implementing the construction is difficult, as
software engineering analyses and quality measures do not address the technologies used in KGC. In this paper,
we propose a syntactic, easy to compute notion of dependencies between assets, and show its capability to assess
change propagation. Furthermore, we discuss potential to use it for coupling and impact estimation. We evaluate
our approach using a prototypical implementation and a case study from the literature, where we find two bugs
where missing dependencies indicated an error due to miscommunication during change propagation between
the developers of two different assets.

Originalsprog	Engelsk
Titel	KGCW@ESWC
Antal sider	14
Publikationsdato	2025
Sider	1-14
Status	Udgivet - 2025
Begivenhed	International Workshop on Knowledge Graph Construction - Bernardin Convention Centre, Portorož, Slovakiet Varighed: 1 jun. 2025 → 1 jun. 2025 Konferencens nummer: 6 https://ceur-ws.org/Vol-3999/?utm_source=chatgpt.com

Workshop

Workshop	International Workshop on Knowledge Graph Construction
Nummer	6
Lokation	Bernardin Convention Centre
Land/Område	Slovakiet
By	Portorož
Periode	01/06/2025 → 01/06/2025
Andet	co-located with the 22nd Extended Semantic Web Conference
Internetadresse	https://ceur-ws.org/Vol-3999/?utm_source=chatgpt.com

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Citationsformater

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title = "On Dependencies in Knowledge Graph Construction",

abstract = "Knowledge graph construction (KGC) requires numerous assets, such as shapes or mappings, to interact correctly. However, maintenance and assessment of the quality of the pipeline implementing the construction is difficult, as software engineering analyses and quality measures do not address the technologies used in KGC. In this paper, we propose a syntactic, easy to compute notion of dependencies between assets, and show its capability to assess change propagation. Furthermore, we discuss potential to use it for coupling and impact estimation. We evaluate our approach using a prototypical implementation and a case study from the literature, where we find two bugs where missing dependencies indicated an error due to miscommunication during change propagation between the developers of two different assets.",

keywords = "Change Propagation, Impact Analysis, Software Analysis, Knowledge Graph Construction",

author = "Eduard Kamburjan and Romana Pernisch and {\'O}scar Corcho and David Chaves-Fraga",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; International Workshop on Knowledge Graph Construction, KGCW ; Conference date: 01-06-2025 Through 01-06-2025",

year = "2025",

language = "English",

pages = "1--14",

booktitle = "KGCW@ESWC",

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TY - GEN

T1 - On Dependencies in Knowledge Graph Construction

AU - Kamburjan, Eduard

AU - Pernisch, Romana

AU - Corcho, Óscar

AU - Chaves-Fraga, David

N1 - Conference code: 6

PY - 2025

Y1 - 2025

N2 - Knowledge graph construction (KGC) requires numerous assets, such as shapes or mappings, to interact correctly. However, maintenance and assessment of the quality of the pipeline implementing the construction is difficult, as software engineering analyses and quality measures do not address the technologies used in KGC. In this paper, we propose a syntactic, easy to compute notion of dependencies between assets, and show its capability to assess change propagation. Furthermore, we discuss potential to use it for coupling and impact estimation. We evaluate our approach using a prototypical implementation and a case study from the literature, where we find two bugs where missing dependencies indicated an error due to miscommunication during change propagation between the developers of two different assets.

AB - Knowledge graph construction (KGC) requires numerous assets, such as shapes or mappings, to interact correctly. However, maintenance and assessment of the quality of the pipeline implementing the construction is difficult, as software engineering analyses and quality measures do not address the technologies used in KGC. In this paper, we propose a syntactic, easy to compute notion of dependencies between assets, and show its capability to assess change propagation. Furthermore, we discuss potential to use it for coupling and impact estimation. We evaluate our approach using a prototypical implementation and a case study from the literature, where we find two bugs where missing dependencies indicated an error due to miscommunication during change propagation between the developers of two different assets.

KW - Change Propagation

KW - Impact Analysis

KW - Software Analysis

KW - Knowledge Graph Construction

M3 - Article in proceedings

SP - 1

EP - 14

BT - KGCW@ESWC

T2 - International Workshop on Knowledge Graph Construction

Y2 - 1 June 2025 through 1 June 2025

ER -

On Dependencies in Knowledge Graph Construction

Abstract

Workshop

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