User-centric pattern mining on knowledge graphs: An archaeological case study

W. X. Wilcke*, V. de Boer, M. T.M. de Kleijn, F. A.H. van Harmelen, H. J. Scholten

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

421 Downloads (Pure)

Abstract

In recent years, there has been a growing interest from the digital humanities in knowledge graphs as data modelling paradigm. Already, this has led to the creation of many such knowledge graphs, many of which are now available as part of the Linked Open Data cloud. This presents new opportunities for data mining. In this work, we develop, implement, and evaluate (both data-driven and user-driven) an end-to-end pipeline for user-centric pattern mining on knowledge graphs in the humanities. This pipeline combines constrained generalized association rule mining with natural language output and facet rule browsing to allow for transparency and interpretability—two key domain requirements. Experiments in the archaeological domain show that domain experts were positively surprised by the range of patterns that were discovered and were overall optimistic about the future potential of this approach.

Original languageEnglish
Article number100486
Pages (from-to)1-10
Number of pages10
JournalJournal of Web Semantics
Volume59
Early online date13 Dec 2018
DOIs
Publication statusPublished - Dec 2019

Funding

We wish to express our deep gratitude to domain experts Milco Wansleeben and Rein van ’t Veer for their enthusiastic encouragement and useful critiques during the various steps that have lead to this work. We also wish to thank all domain experts who participated in our survey for their willingness to sacrifice their free time, and without whom we would not have been able to complete this research. This research has been partially funded by the ARIADNE project through the European Commission under the Community’s Seventh Framework Programme, contract no. FP7-INFRASTRUCTURES-2012-1-313193 .

FundersFunder number
Seventh Framework Programme313193
European Commission
Seventh Framework ProgrammeFP7-INFRASTRUCTURES-2012-1-313193

    Keywords

    • Archaeology
    • Digital humanities
    • Generalized association rules
    • Knowledge graphs
    • Pattern mining
    • User-centric

    Fingerprint

    Dive into the research topics of 'User-centric pattern mining on knowledge graphs: An archaeological case study'. Together they form a unique fingerprint.

    Cite this