Publication: The Butterfly Effect in Knowledge Graphs: Predicting the Impact of Changes in the Evolving Web of Data
The Butterfly Effect in Knowledge Graphs: Predicting the Impact of Changes in the Evolving Web of Data
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Pernischova, R. (2019, October 30). The Butterfly Effect in Knowledge Graphs: Predicting the Impact of Changes in the Evolving Web of Data. Doctoral Consortium at ISWC 2019, Auckland.
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Knowledge graphs (KGs) are at the core of numerous applications and their importance is increasing. Yet, knowledge evolves and so do KGs. PubMed, a search engine that primarily provides access to medical publications, adds an estimated 500'000 new records per year - each having the potential to require updates to a medical KG, like the National Cancer Institute Thesaurus. Depending on the applications that use such a medical KG, some of these updates have possibly wide-ranging impact, while others have only local effects. Estimating t
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Pernischova, R. (2019, October 30). The Butterfly Effect in Knowledge Graphs: Predicting the Impact of Changes in the Evolving Web of Data. Doctoral Consortium at ISWC 2019, Auckland.
