Abstract
In recent years, plant phenomics community has adopted Semantic Web technologies in order to harmonise heterogeneous, multi-scale and multi-source datasets. Semantic Web provides inference services for representing logic relationships in an unambiguous, homogeneous and clean manner, which enhances data harmonisation. However, mathematical relationships involving numerical attributes are poorly formalised, despite the fact that they are supported for a theoretical and well-defined structure. For instance, whilst unit ontologies (e.g. UO, OM, QUDT) provide relationships and annotations to perform unit conversion, they are not effectively used for automating the integration of heterogeneous measurements. Here we propose an ontological framework for representing mathematical equations supporting the automatised use of inference services, metadata, domain ontologies, and the internal structure of mathematical equations. This approach is evaluated using two plant phenomics case studies involving the calculation of unit conversions and thermal time.
Supported by INRAE and #DigitAg. This work was supported by the French National Research Agency under the Investments for the Future Program, referred as ANR-16-CONV-0004
Category: Early Stage Ph.D. Topic: Deductive Reasoning, Neuro-symbolic reasoning, Inductive Reasoning.
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Vargas-Rojas, F. (2021). Ontological Formalisation of Mathematical Equations for Phenomic Data Exploitation. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_30
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