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Aligning Observable Property Terminologies using the I-ADOPT framework

Magagna, Barbara und Schindler, Sirko und Moncoiffe, Gwenaelle und Karam, Naouel und Pamment, Alison und Stoica, Maria und Devaraju, Anusuriya (2023) Aligning Observable Property Terminologies using the I-ADOPT framework. International Data Week 2023: A Festival of Data, 2023-10-23 - 2023-10-26, Salzburg, Austria.

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Kurzfassung

During its lifetime, the RDA WG InteroperAble Descriptions of Observable Property Terminologies (I-ADOPT) developed a semantic framework to represent scientific variables and give a detailed account of what has been measured or otherwise been observed. The framework breaks down complex variable descriptions into essential atomic components, e.g., what quality or quantity kind of which object or phenomenon kind are the subject of the measurement or observation. While the ecological domain served as a starting point, we took into account other domains as part of the development. As a result, the I-ADOPT model is a generic framework to describe observational properties. The recommendations of the IADOPT WG have been published along with several outputs including the I-ADOPT ontology itself and a collection of terminologies to be used as atomic components. The I-ADOPT WG is now in maintenance mode but work is continuing on testing and supporting real-life implementation scenarios. Multiple terminology providers and data repositories have started aligning their variables to the I-ADOPT framework. This results in an increasing number of I-ADOPT-compliant variable descriptions from different stakeholders. We are now ready to test whether one of the main goals of the I-ADOPT WG has actually been achieved: does the I-ADOPT framework enable semantic interoperability of variable descriptions across datasets annotated using different controlled vocabularies? This poster highlights how the I-ADOPT model has been applied to existing terminologies of observational variables, providing detailed semantic context information. We present current efforts to exploit these details while aligning terminologies of different origins. We want to encourage other terminology providers and domains to explore the I-ADOPT framework to grow an increasing network of interoperable terminologies for observational variables.

elib-URL des Eintrags:https://elib.dlr.de/197202/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Aligning Observable Property Terminologies using the I-ADOPT framework
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Magagna, Barbarabarbara.magagna (at) umweltbundesamt.athttps://orcid.org/0000-0003-2195-3997NICHT SPEZIFIZIERT
Schindler, SirkoSirko.Schindler (at) dlr.dehttps://orcid.org/0000-0002-0964-4457146528783
Moncoiffe, Gwenaellegmon (at) bodc.ac.ukhttps://orcid.org/0000-0001-6559-4178NICHT SPEZIFIZIERT
Karam, Naouelnaouel.karam (at) fokus.fraunhofer.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Pamment, Alisonalison.pamment (at) stfc.ac.ukhttps://orcid.org/0000-0001-5040-4626NICHT SPEZIFIZIERT
Stoica, Mariamaria.stoica (at) colorado.eduhttps://orcid.org/0000-0002-6612-3439NICHT SPEZIFIZIERT
Devaraju, AnusuriyaAnusuriya.Devaraju (at) csiro.auhttps://orcid.org/0000-0003-0870-3192NICHT SPEZIFIZIERT
Datum:Oktober 2023
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Semantic Web Interoperability
Veranstaltungstitel:International Data Week 2023: A Festival of Data
Veranstaltungsort:Salzburg, Austria
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:23 Oktober 2023
Veranstaltungsende:26 Oktober 2023
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R - keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):R - keine Zuordnung
Standort: Jena
Institute & Einrichtungen:Institut für Datenwissenschaften > Datenmanagement und -aufbereitung
Hinterlegt von: Schindler, Dr. Sirko
Hinterlegt am:13 Nov 2023 15:28
Letzte Änderung:24 Apr 2024 20:57

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