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ADOnIS - An ontology-based information system providing seamless integration of structured and unstructured data

Algergawy, Alsayed und Klan, Friederike und Faessler, Erik und Hamdi, Hamed und Kampe, Bernd und Koenig-Ries, Birgitta und Hahn, Udo (2018) ADOnIS - An ontology-based information system providing seamless integration of structured and unstructured data. 10th International Conference on Ecological Informatics, 2018-09-24 - 2018-09-28, Jena, Deutschland.

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Kurzfassung

The CRC AquaDiva is a large collaborative project spanning a variety of domains, such as biology, geology, chemistry, and computer science with the common goal to better understand the Earth's critical zone in particular how environmental conditions and surface properties shape the structure, properties, and functions of the subsurface. This necessitates the collection and integration of large volumes of heterogeneous data. Besides this structured data, knowledge is also encoded in an unstructured form in publications. Ideally, scientists should be able to seamlessly access both types of information. To this end, we are developing the AquaDiva Ontology-based Information System, ADOnIS. This system gives scientists various ways to upload their datasets into a common repository based on the BExIS framework. To enhance the integration process and to resolve conflicts among heterogeneous datasets, we build a conceptual, ontology-based layer on top of the common repository. Finally, the system grants different mechanisms to search and look for a specific piece of information and/or knowledge, including keyword search, semantic search, and interactive search. In all cases, search results will contain structured data as well as publications obtained from PubMed by using SeMedico. The normal search provides the possibility for a scientist to enter a keyword (or a set of keywords) looking for the existence of this keyword either in the set of available metadata or primary data applying an exact match technique. This kind of search completely ignores the semantics of keywords as well as their relationships. Therefore, ADOnIS also provides semantic search exploiting features introduced by the conceptual layer. Finally, interactive search offers a view covering all the geo-related datasets displayed on a map.

elib-URL des Eintrags:https://elib.dlr.de/126328/
Dokumentart:Konferenzbeitrag (Poster)
Titel:ADOnIS - An ontology-based information system providing seamless integration of structured and unstructured data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Algergawy, AlsayedFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-8550-4720NICHT SPEZIFIZIERT
Klan, FriederikeFriederike.Klan (at) dlr.dehttps://orcid.org/0000-0002-1856-7334NICHT SPEZIFIZIERT
Faessler, ErikFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0003-1193-5103NICHT SPEZIFIZIERT
Hamdi, HamedFriedrich-Schiller-Universität JenaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kampe, BerndFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-6598-8553NICHT SPEZIFIZIERT
Koenig-Ries, BirgittaFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-2382-9722NICHT SPEZIFIZIERT
Hahn, UdoFriedrich-Schiller-Universität JenaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2018
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:ontology, data access, data management
Veranstaltungstitel:10th International Conference on Ecological Informatics
Veranstaltungsort:Jena, Deutschland
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 September 2018
Veranstaltungsende:28 September 2018
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 > Bürgerwissenschaften
Hinterlegt von: Klan, Dr. Friederike
Hinterlegt am:04 Feb 2019 09:57
Letzte Änderung:10 Jun 2024 15:07

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