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

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

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Abstract

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.

Item URL in elib:https://elib.dlr.de/126328/
Document Type:Conference or Workshop Item (Poster)
Title:ADOnIS - An ontology-based information system providing seamless integration of structured and unstructured data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Algergawy, AlsayedFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-8550-4720
Klan, FriederikeFriederike.Klan (at) dlr.dehttps://orcid.org/0000-0002-1856-7334
Faessler, ErikFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0003-1193-5103
Hamdi, HamedFriedrich-Schiller-Universität JenaUNSPECIFIED
Kampe, BerndFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-6598-8553
Koenig-Ries, BirgittaFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-2382-9722
Hahn, UdoFriedrich-Schiller-Universität JenaUNSPECIFIED
Date:2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:ontology, data access, data management
Event Title:10th International Conference on Ecological Informatics
Event Location:Jena, Deutschland
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Deposited By: Klan, Dr. Friederike
Deposited On:04 Feb 2019 09:57
Last Modified:31 Jul 2019 20:24

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