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moody: Multi-Objective Optimization Ontology

Authors: Aldana-Martín, José F.; Roldan-Garcia, Maria del Mar; Nebro, Antonio J.;

moody: Multi-Objective Optimization Ontology

Abstract

moody (Multi-Objective Optimization ontologY) is a OWL2 ontology aiming to provide the ontology model to allow the semantic consolidation of the data related to multi-objective optimization experiments, including algorithms, problems and quality indicators. moody is in development at https://gitlab.com/jfaldanam-phd/moody.

This work has been partially funded by the Spanish Ministry of Science and Innovation via Grant PID2020-112540RB-C41 (AEI/FEDER, UE) and the Andalusian PAIDI program with grant P18-RT-2799. José F. Aldana-Martín is supported by Grant PRE2021-098594 (Spanish Ministry of Science, Innovation and Universities).

Related Organizations
Keywords

Ontology, Multi-Objective Optimization, Reasoning, Evolutionary algorithms, Semantic Web

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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