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User-Centric Pattern Mining on Knowledge Graphs: An Archaeological Case Study

15 Pages Posted: 12 Dec 2018 First Look: Accepted

See all articles by W.X. Wilcke

W.X. Wilcke

VU University Amsterdam - Department of Spatial Economics; VU University Amsterdam - Department of Computer Science

V. de Boer

VU University Amsterdam - Department of Computer Science

M.T.M. de Kleijn

VU University Amsterdam - Department of Spatial Economics

F.A.H. van Harmelen

VU University Amsterdam - Department of Computer Science

H.J. Scholten

VU University Amsterdam - Department of Spatial Economics

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.

Keywords: User-Centric, Pattern Mining, Generalized Association Rules, Knowledge Graphs, Digital Humanities, Archaeology

Suggested Citation

Wilcke, W.X. and Boer, V. de and Kleijn, M.T.M. de and Harmelen, F.A.H. van and Scholten, H.J., User-Centric Pattern Mining on Knowledge Graphs: An Archaeological Case Study (December 12, 2018). Available at SSRN: https://ssrn.com/abstract=3300003 or http://dx.doi.org/10.2139/ssrn.3300003

W.X. Wilcke (Contact Author)

VU University Amsterdam - Department of Spatial Economics

De Boelelaan 1105
1081HV Amsterdam
Netherlands

VU University Amsterdam - Department of Computer Science

De Boelelaan 1081
1081 HV Amsterdam
Netherlands

V. de Boer

VU University Amsterdam - Department of Computer Science

De Boelelaan 1081
1081 HV Amsterdam
Netherlands

M.T.M. de Kleijn

VU University Amsterdam - Department of Spatial Economics

De Boelelaan 1105
1081HV Amsterdam
Netherlands

F.A.H. van Harmelen

VU University Amsterdam - Department of Computer Science

De Boelelaan 1081
1081 HV Amsterdam
Netherlands

H.J. Scholten

VU University Amsterdam - Department of Spatial Economics

De Boelelaan 1105
1081HV Amsterdam
Netherlands

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