Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies

被引：0

作者：

Mantas, Anastasios ^{[1
]}

Yfantis, Filippos ^{[1
]}

Bilidas, Dimitris ^{[1
]}

Stamoulis, George ^{[1
]}

Kondylatos, Spyros ^{[2
]}

Prapas, Ioannis ^{[2
]}

Papoutsis, Ioannis ^{[2
]}

Maria Tarraga Habas, Jose ^{[3
]}

Sevillano Marco, Eva ^{[3
]}

Castel, Fabien ^{[4
]}

Laine, Camille ^{[4
]}

Koubarakis, Manolis ^{[1
]}

机构：

[1] Natl & Kapodistrian Univ Athens, Dept Informat & Telecommun, Athens 15772, Greece

[2] Natl Observ Athens, Orion Lab, Athens 11810, Greece

[3] Univ Valencia, Image Proc Lab, Valencia 46010, Spain

[4] Murmuration SAS, F-31400 Toulouse, France

来源：

IEEE ACCESS | 2024年 / 12卷

基金：

欧盟地平线“2020”;

关键词：

Ontologies; Soft sensors; Semantics; Geospatial analysis; Geometry; Databases; Computer architecture; Earth Observing System; Semantic data cubes; ontologies; ontology-based data access; Ontop; Earth observation;

D O I：

10.1109/ACCESS.2024.3453494

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：130356 / 130374

页数：19

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