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Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies
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DOI：10.1109/ACCESS.2024.3453494.png)
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Abstract
En 中文
We present Plato, a novel semantic data cube system leveraging Ontology-Based Data Access technologies. The concept of semantic data cubes, pioneered by Augustin et al., offers a novel approach to managing Earth Observation data, intertwining symbolic high-level concepts with raw numerical values. While data cube infrastructures have gained prominence, Plato stands out by bridging the gap between ontology-driven semantics and multidimensional data storage, enabling users to glean insights from data in a more intuitive and integrated manner. By employing Ontology-Based Data Access methodologies, Plato establishes connections between ontologies capturing geospatial knowledge and underlying data sources, facilitating seamless querying and interpretation. In this paper we describe the software architecture of Plato, we discuss its applications in the context of the DeepCube project and we evaluate its performance with real data from these applications.
Keywords:
Ontologies
Soft sensors
Semantics
Geospatial analysis
Geometry
Databases
Computer architecture
Earth Observing System
Semantic data cubes
ontologies
ontology-based data access
Ontop
Earth observation
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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