Skip to main navigation Skip to search Skip to main content

A Pattern for Representing Scientific Taxonomies

  • Shirly Stephen
  • , Cogan Shimizu
  • , Mark Schildhauer
  • , Rui Zhu
  • , Krzysztof Janowicz
  • , Pascal Hitzler

Research output: Contribution to journalConference articlepeer-review

Abstract

Standard taxonomies that are meant to serve as reference specifications of specific scientific domains are developed through extensive review by scientists and experts. For data integration and interoperability needs within Knowledge Graphs (KGs), these taxonomies must be translated into formal ontologies. In this paper we present an ontology design pattern for modeling a scientific taxonomy as an ontology. The focus of the pattern is to 1) capture temporal dynamics of concepts as taxonomies evolve, 2) model the provenance of concepts to add context and enable governance, 3) assist the translation of taxonomic relations to ontological relations appropriately that will empower their use within KGs, and 4) tag provenance and other metadata information to mappings or alignments of uncertainty between concepts in different ontologies.
Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3352
StatePublished - 2023
Event13th Workshop on Ontology Design and Patterns, WOP 2022 - Virtual Online
Duration: Oct 24 2022 → …

ASJC Scopus Subject Areas

  • General Computer Science

Keywords

  • linked data
  • ontology design patterns
  • scientific taxonomies
  • semantic web
  • SKOS

Cite this