User-centric pattern mining on knowledge graphs
| Autor: | Henk J. Scholten, M.T.M. de Kleijn, F.A.H. van Harmelen, V. de Boer, W.X. Wilcke |
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| Přispěvatelé: | Business Web and Media, Spatial Economics, Network Institute, Intelligent Information Systems, Artificial intelligence, Knowledge Representation and Reasoning |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Association rule learning
Computer Networks and Communications Computer science business.industry Cloud computing Linked data Archaeology Pipeline (software) Data modeling Domain (software engineering) Human-Computer Interaction User-centric Pattern mining Knowledge graphs Generalized association rules business Software Natural language Interpretability User-centered design Digital humanities |
| Zdroj: | Wilcke, W X, de Boer, V, de Kleijn, M T M, van Harmelen, F A H & Scholten, H J 2019, ' User-centric pattern mining on knowledge graphs : An archaeological case study ', Journal of Web Semantics, vol. 59, 100486, pp. 1-10 . https://doi.org/10.1016/j.websem.2018.12.004 Journal of Web Semantics, 59:100486, 1-10. Elsevier |
| ISSN: | 1570-8268 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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