FMMLx and DLM -- A Contribution to the MULTI Collaborative Comparison Challenge
This paper is a response to the MULTI 2022 Collaborative Comparison Challenge [23]. We compare FMMLx- and DLM-based solutions. We first present each approach and solution separately, and then discuss trade-offs of both the solutions and the approaches.
Authors
- Thomas Kuehne (ORCID: https://orcid.org/0000-0002-7674-2209)
- Pierre Maier (ORCID: https://orcid.org/0009-0000-4594-6578)
Institutions
- Victoria University of Wellington (NZ)
- University of Duisburg-Essen (DE)
Publication Details
- Published
- 2024-09-22
- DOI
- https://doi.org/10.1145/3652620.3688212
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00