Loading…

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

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. W...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.130356-130374
Main Authors: Mantas, Anastasios, Yfantis, Filippos, Bilidas, Dimitris, Stamoulis, George, Kondylatos, Spyros, Prapas, Ioannis, Papoutsis, Ioannis, Maria Tarraga Habas, Jose, Sevillano Marco, Eva, Castel, Fabien, Laine, Camille, Koubarakis, Manolis
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c261t-b57579ee8735989a31a51b157367fd53524553ade18adbe51bcbb72b793efcdd3
container_end_page 130374
container_issue
container_start_page 130356
container_title IEEE access
container_volume 12
creator Mantas, Anastasios
Yfantis, Filippos
Bilidas, Dimitris
Stamoulis, George
Kondylatos, Spyros
Prapas, Ioannis
Papoutsis, Ioannis
Maria Tarraga Habas, Jose
Sevillano Marco, Eva
Castel, Fabien
Laine, Camille
Koubarakis, Manolis
description 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.
doi_str_mv 10.1109/ACCESS.2024.3453494
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_ACCESS_2024_3453494</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10670134</ieee_id><doaj_id>oai_doaj_org_article_52b3168ad4dc40329ec6d1f72c1e3af4</doaj_id><sourcerecordid>oai_doaj_org_article_52b3168ad4dc40329ec6d1f72c1e3af4</sourcerecordid><originalsourceid>FETCH-LOGICAL-c261t-b57579ee8735989a31a51b157367fd53524553ade18adbe51bcbb72b793efcdd3</originalsourceid><addsrcrecordid>eNpNkN1Kw0AQhRdRsNQ-gV7kBVKzO7vZxLsYqxYKLaS9XvZnUlPSRLLxom9vaop0bmY4M-eDOYQ80mhOaZQ-Z3m-KIo5ixifAxfAU35DJozGaQgC4tur-Z7MvD9EQyWDJOSEbDa17tuXIAsKPOqmr2zwpnsd5D8Gg-LkezwGO181-2Dd9G3d7k_hq_boxqvMWvQ-2KL9as7LCv0DuSt17XF26VOye19s889wtf5Y5tkqtCymfWiEFDJFTCSINEk1UC2ooUJCLEsnQDAuBGiHNNHO4LCzxkhmZApYWudgSpYj17X6oL676qi7k2p1pf6Ettsr3Q3v1KgEM0DjgcOd5RGwFG3saCmZpQi65AMLRpbtWu87LP95NFLnjNWYsTpnrC4ZD66n0VUh4pUjlhEFDr9S1ndj</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies</title><source>IEEE Xplore Open Access Journals</source><creator>Mantas, Anastasios ; Yfantis, Filippos ; Bilidas, Dimitris ; Stamoulis, George ; Kondylatos, Spyros ; Prapas, Ioannis ; Papoutsis, Ioannis ; Maria Tarraga Habas, Jose ; Sevillano Marco, Eva ; Castel, Fabien ; Laine, Camille ; Koubarakis, Manolis</creator><creatorcontrib>Mantas, Anastasios ; Yfantis, Filippos ; Bilidas, Dimitris ; Stamoulis, George ; Kondylatos, Spyros ; Prapas, Ioannis ; Papoutsis, Ioannis ; Maria Tarraga Habas, Jose ; Sevillano Marco, Eva ; Castel, Fabien ; Laine, Camille ; Koubarakis, Manolis</creatorcontrib><description>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.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3453494</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer architecture ; Earth observation ; Earth Observing System ; Geometry ; Geospatial analysis ; Ontologies ; ontology-based data access ; Ontop ; Semantic data cubes ; Semantics ; Soft sensors</subject><ispartof>IEEE access, 2024, Vol.12, p.130356-130374</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c261t-b57579ee8735989a31a51b157367fd53524553ade18adbe51bcbb72b793efcdd3</cites><orcidid>0000-0002-0949-8592 ; 0000-0002-1954-8338 ; 0000-0002-3723-1692 ; 0000-0001-6899-5962</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10670134$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,4009,27612,27902,27903,27904,54911</link.rule.ids></links><search><creatorcontrib>Mantas, Anastasios</creatorcontrib><creatorcontrib>Yfantis, Filippos</creatorcontrib><creatorcontrib>Bilidas, Dimitris</creatorcontrib><creatorcontrib>Stamoulis, George</creatorcontrib><creatorcontrib>Kondylatos, Spyros</creatorcontrib><creatorcontrib>Prapas, Ioannis</creatorcontrib><creatorcontrib>Papoutsis, Ioannis</creatorcontrib><creatorcontrib>Maria Tarraga Habas, Jose</creatorcontrib><creatorcontrib>Sevillano Marco, Eva</creatorcontrib><creatorcontrib>Castel, Fabien</creatorcontrib><creatorcontrib>Laine, Camille</creatorcontrib><creatorcontrib>Koubarakis, Manolis</creatorcontrib><title>Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies</title><title>IEEE access</title><addtitle>Access</addtitle><description>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.</description><subject>Computer architecture</subject><subject>Earth observation</subject><subject>Earth Observing System</subject><subject>Geometry</subject><subject>Geospatial analysis</subject><subject>Ontologies</subject><subject>ontology-based data access</subject><subject>Ontop</subject><subject>Semantic data cubes</subject><subject>Semantics</subject><subject>Soft sensors</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNkN1Kw0AQhRdRsNQ-gV7kBVKzO7vZxLsYqxYKLaS9XvZnUlPSRLLxom9vaop0bmY4M-eDOYQ80mhOaZQ-Z3m-KIo5ixifAxfAU35DJozGaQgC4tur-Z7MvD9EQyWDJOSEbDa17tuXIAsKPOqmr2zwpnsd5D8Gg-LkezwGO181-2Dd9G3d7k_hq_boxqvMWvQ-2KL9as7LCv0DuSt17XF26VOye19s889wtf5Y5tkqtCymfWiEFDJFTCSINEk1UC2ooUJCLEsnQDAuBGiHNNHO4LCzxkhmZApYWudgSpYj17X6oL676qi7k2p1pf6Ettsr3Q3v1KgEM0DjgcOd5RGwFG3saCmZpQi65AMLRpbtWu87LP95NFLnjNWYsTpnrC4ZD66n0VUh4pUjlhEFDr9S1ndj</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Mantas, Anastasios</creator><creator>Yfantis, Filippos</creator><creator>Bilidas, Dimitris</creator><creator>Stamoulis, George</creator><creator>Kondylatos, Spyros</creator><creator>Prapas, Ioannis</creator><creator>Papoutsis, Ioannis</creator><creator>Maria Tarraga Habas, Jose</creator><creator>Sevillano Marco, Eva</creator><creator>Castel, Fabien</creator><creator>Laine, Camille</creator><creator>Koubarakis, Manolis</creator><general>IEEE</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0949-8592</orcidid><orcidid>https://orcid.org/0000-0002-1954-8338</orcidid><orcidid>https://orcid.org/0000-0002-3723-1692</orcidid><orcidid>https://orcid.org/0000-0001-6899-5962</orcidid></search><sort><creationdate>2024</creationdate><title>Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies</title><author>Mantas, Anastasios ; Yfantis, Filippos ; Bilidas, Dimitris ; Stamoulis, George ; Kondylatos, Spyros ; Prapas, Ioannis ; Papoutsis, Ioannis ; Maria Tarraga Habas, Jose ; Sevillano Marco, Eva ; Castel, Fabien ; Laine, Camille ; Koubarakis, Manolis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c261t-b57579ee8735989a31a51b157367fd53524553ade18adbe51bcbb72b793efcdd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer architecture</topic><topic>Earth observation</topic><topic>Earth Observing System</topic><topic>Geometry</topic><topic>Geospatial analysis</topic><topic>Ontologies</topic><topic>ontology-based data access</topic><topic>Ontop</topic><topic>Semantic data cubes</topic><topic>Semantics</topic><topic>Soft sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mantas, Anastasios</creatorcontrib><creatorcontrib>Yfantis, Filippos</creatorcontrib><creatorcontrib>Bilidas, Dimitris</creatorcontrib><creatorcontrib>Stamoulis, George</creatorcontrib><creatorcontrib>Kondylatos, Spyros</creatorcontrib><creatorcontrib>Prapas, Ioannis</creatorcontrib><creatorcontrib>Papoutsis, Ioannis</creatorcontrib><creatorcontrib>Maria Tarraga Habas, Jose</creatorcontrib><creatorcontrib>Sevillano Marco, Eva</creatorcontrib><creatorcontrib>Castel, Fabien</creatorcontrib><creatorcontrib>Laine, Camille</creatorcontrib><creatorcontrib>Koubarakis, Manolis</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Xplore Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mantas, Anastasios</au><au>Yfantis, Filippos</au><au>Bilidas, Dimitris</au><au>Stamoulis, George</au><au>Kondylatos, Spyros</au><au>Prapas, Ioannis</au><au>Papoutsis, Ioannis</au><au>Maria Tarraga Habas, Jose</au><au>Sevillano Marco, Eva</au><au>Castel, Fabien</au><au>Laine, Camille</au><au>Koubarakis, Manolis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>130356</spage><epage>130374</epage><pages>130356-130374</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>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.</abstract><pub>IEEE</pub><doi>10.1109/ACCESS.2024.3453494</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-0949-8592</orcidid><orcidid>https://orcid.org/0000-0002-1954-8338</orcidid><orcidid>https://orcid.org/0000-0002-3723-1692</orcidid><orcidid>https://orcid.org/0000-0001-6899-5962</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2024, Vol.12, p.130356-130374
issn 2169-3536
2169-3536
language eng
recordid cdi_crossref_primary_10_1109_ACCESS_2024_3453494
source IEEE Xplore Open Access Journals
subjects Computer architecture
Earth observation
Earth Observing System
Geometry
Geospatial analysis
Ontologies
ontology-based data access
Ontop
Semantic data cubes
Semantics
Soft sensors
title Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T23%3A55%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Plato:%20A%20Semantic%20Data%20Cube%20System%20Using%20Ontology-Based%20Data%20Access%20Technologies&rft.jtitle=IEEE%20access&rft.au=Mantas,%20Anastasios&rft.date=2024&rft.volume=12&rft.spage=130356&rft.epage=130374&rft.pages=130356-130374&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2024.3453494&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_52b3168ad4dc40329ec6d1f72c1e3af4%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c261t-b57579ee8735989a31a51b157367fd53524553ade18adbe51bcbb72b793efcdd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10670134&rfr_iscdi=true