Publication: Toward Predicting Impact of Changes in Evolving Knowledge Graphs
Toward Predicting Impact of Changes in Evolving Knowledge Graphs
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Pernischova, R., Dell’Aglio, D., Horridge, M., Baumgartner, M., & Bernstein, A. (2019, October 30). Toward Predicting Impact of Changes in Evolving Knowledge Graphs. ISWC 2019 Posters & Demonstrations, Auckland.
Abstract
Abstract
Abstract
The updates on knowledge graphs (KGs) affect the services built on top of them. However, changes are not all the same: some updates drastically change the result of operations based on knowledge graph content; others do not lead to any variation. Estimating the impact of a change ex-ante is highly important, as it might make KG engineers aware of the consequences of their action during KG editing or may be used to highlight the importance of a new fragment of knowledge to be added to the KG for some application.
The main goal of th
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- Dell'Aglio, Daniele
- Horridge, Matthiew
- Baumgartner, Matthias
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Pernischova, R., Dell’Aglio, D., Horridge, M., Baumgartner, M., & Bernstein, A. (2019, October 30). Toward Predicting Impact of Changes in Evolving Knowledge Graphs. ISWC 2019 Posters & Demonstrations, Auckland.
