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

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

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

Original languageEnglish
Title of host publication2025 14th International Conference on Modern Circuits and Systems Technologies, MOCAST 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (electronic)9798331539146
ISBN (print)979-8-3315-3915-3
Publication statusPublished - 13 Jun 2025
Peer-reviewedYes

Conference

Title14th International Conference on Modern Circuits and Systems Technologies
Abbreviated titleMOCAST 2025
Conference number14
Duration11 - 13 June 2025
Website
LocationTechnische Universität Dresden
CityDresden
CountryGermany

External IDs

ORCID /0000-0001-7436-0103/work/188859570
ORCID /0000-0003-3259-4571/work/188860249
Scopus 105022274239

Keywords

Keywords

  • Knowledge graphs, Knowledge transfer, Life sciences, Memristors, Ontologies, Pragmatics, Prototypes, Question answering (information retrieval), Resource description framework, Terminology, memristive device, knowledge graph, RDF, memristor, formal knowledge representation, ontology