On the Combination of Event Calculus and Empirical Semantic Drifts

Franz Krause*, Xi Yan, Baptiste Darnala, Michel Dumontier

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

The encoding and exploitation of semantics has been gaining popularity, as exemplified by the uptake of digital ontologies and knowledge graphs. However, the semantics of domain objects usually do not reflect how they evolved over time, i.e., which events their dynamic transitions are based on. While a number of methods have been proposed to trace events and their impacts on a domain, there is a paucity of approaches to effectively join them. Thus, we combine event calculus as an analytical approach for modeling causal relationships between events and effects with semantic drifts as an empirical approach for quantifying the impact of domain updates. We demonstrate how their respective weaknesses can be addressed and how their interaction can improve the representation of semantic transitions.
Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Subtitle of host publicationJoint of the 20th European Semantic Web Conference - Workshops and Tutorials, ESWC-JP 2023
Volume3443
Publication statusPublished - 1 Jan 2023
EventESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference - Hersonissos, Greece
Duration: 28 May 202329 May 2023

Publication series

SeriesCEUR Workshop Proceedings
ISSN1613-0073

Conference

ConferenceESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference
Abbreviated titleESWC-JP 2023
Country/TerritoryGreece
CityHersonissos
Period28/05/2329/05/23

Keywords

  • Dynamic Knowledge Graph
  • Event Calculus
  • Semantic Drift

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