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 language | English |
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| Publication status | Published - 2023 |
| Event | 13th Workshop on Ontology Design and Patterns, WOP 2022 - Virtual Online Duration: 24 Oct 2022 → … |
Conference
| Conference | 13th Workshop on Ontology Design and Patterns, WOP 2022 |
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| City | Virtual Online |
| Period | 24/10/22 → … |
Bibliographical note
Funding Information:Acknowledgement. This material is based upon work supported by the National Science Foundation under Grant No. 2033521: “KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies”. Any opinions expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2023 CEUR-WS. All rights reserved.
Keywords
- linked data
- ontology design patterns
- scientific taxonomies
- semantic web
- SKOS