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.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688212
Primary Topic
Semantic Web and Ontologies
Type
article
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article

FMMLx and DLM -- A Contribution to the MULTI Collaborative Comparison Challenge

Thomas Kuehne, Pierre Maier
Semantic Web and Ontologies
article

FMMLx and DLM -- A Contribution to the MULTI Collaborative Comparison Challenge

Thomas Kuehne, Pierre Maier
article en

Abstract

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.

Victoria University of Wellington (NZ), University of Duisburg-Essen (DE)
Openalex Percentile: Top 83%
Semantic Web and Ontologies
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FMMLx and DLM -- A Contribution to the MULTI Collaborative Comparison Challenge — Thomas Kuehne, Pierre Maier · (2024) | TGRS Research Map | TGRS