Towards Formal Representation of Memristor-Related Domain Knowledge - A Pragmatic Attempt
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
|---|---|
| Title of host publication | 2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (electronic) | 9798331539146 |
| ISBN (print) | 979-8-3315-3915-3 |
| Publication status | Published - 13 Jun 2025 |
| Peer-reviewed | Yes |
Conference
| Title | 14th International Conference on Modern Circuits and Systems Technologies |
|---|---|
| Abbreviated title | MOCAST 2025 |
| Conference number | 14 |
| Duration | 11 - 13 June 2025 |
| Website | |
| Location | Technische Universität Dresden |
| City | Dresden |
| Country | Germany |
External IDs
| ORCID | /0000-0001-7436-0103/work/188859570 |
|---|---|
| ORCID | /0000-0003-3259-4571/work/188860249 |
Keywords
Keywords
- Knowledge graphs, Knowledge transfer, Life sciences, Memristors, Ontologies, Pragmatics, Prototypes, Question answering (information retrieval), Resource description framework, Terminology