Towards Formal Representation of Memristor-Related Domain Knowledge - A Pragmatic Attempt
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
| Originalsprache | Englisch |
|---|---|
| Titel | 2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST) |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 1-6 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9798331539146 |
| ISBN (Print) | 979-8-3315-3915-3 |
| Publikationsstatus | Veröffentlicht - 13 Juni 2025 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 14th International Conference on Modern Circuits and Systems Technologies |
|---|---|
| Kurztitel | MOCAST 2025 |
| Veranstaltungsnummer | 14 |
| Dauer | 11 - 13 Juni 2025 |
| Webseite | |
| Ort | Technische Universität Dresden |
| Stadt | Dresden |
| Land | Deutschland |
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