Consistency checking in a cloud of interlinked Cultural Heritage knowledge graphs

Read full text
Authors: Petri Leskinen, Annastiina Ahola, Heikki Rantala, Jouni Tuominen, Eero Antero Hyvönen
Cited by: 1

Abstract

This paper presents a novel use case and functionalities of the new data linking service and portal SampoSampo – Connecting Everything to Everything Else on top of it, based on a Linked Open Data (LOD) cloud of related Cultural Heritage (CH) knowledge graphs (KG) of different application domains. This new Sampo system interlinks data about historical Finnish people, organizations, places, and events from 11 earlier Sampo systems in use on the Web as well as 8 other Finnish and international sources of data on the Web. This paper focuses on one particular use case of SampoSampo: how to detect automatically conflicting and complementary data about entities in an interlinked cloud of CH KGs. With provenience information attached, this is useful 1) for data publishers for checking the quality and possible errors in their data by comparing it with datasets provided by the other publishers, and 2) for data consumers for verifying the quality of data based on multiple primary sources. Our first results show some striking conflicts and disagreements between the primary data sources interlinked in SampoSampo.

Fields of Study & Subjects

Semantic Web and Ontologies Data Quality and Management Advanced Graph Neural Networks

Publication details

Journal / source
Digital Humanities in the Nordic and Baltic Countries Publications
Publisher
University of Oslo Library
Volume
8
Issue
1
Publication date
3 March 2026
Language
EN