Towards Formal Representation of Memristor-Related Domain Knowledge - A Pragmatic Attempt

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Computational ontologies (or knowledge graphs) are powerful established technologies to represent knowledge of a certain domain in a formal (i.e. machine-processable) way. While in the life sciences the usage of those technologies has been common for decades they are rarely applied to engineering domains. Especially for young and highly active sub-fields like the investigation of memristive devices and the related theory, formal knowledge representation promises a significant benefit for the consolidation of terminology and for knowledge transfer both within the scientific community and also towards practitioners. In this contribution we conduct a case study to create an experimental prototype - the Ontology of Memristor Technology (OMT). We present a pragmatic approach based on two simple question answering use-cases. To achieve this we semi-automatically incorporate knowledge from certain overview papers and background knowledge from Wikidata. Based on a critical discussion of our results we also outline directions for further research.

Details

OriginalspracheEnglisch
Titel2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seiten1-6
Seitenumfang6
ISBN (elektronisch)9798331539146
ISBN (Print)979-8-3315-3915-3
PublikationsstatusVeröffentlicht - 13 Juni 2025
Peer-Review-StatusJa

Konferenz

Titel14th International Conference on Modern Circuits and Systems Technologies
KurztitelMOCAST 2025
Veranstaltungsnummer14
Dauer11 - 13 Juni 2025
Webseite
OrtTechnische Universität Dresden
StadtDresden
LandDeutschland

Externe IDs

ORCID /0000-0001-7436-0103/work/188859570
ORCID /0000-0003-3259-4571/work/188860249

Schlagworte

Schlagwörter

  • Knowledge graphs, Knowledge transfer, Life sciences, Memristors, Ontologies, Pragmatics, Prototypes, Question answering (information retrieval), Resource description framework, Terminology