GI_Forum 2021, Volume 9, Issue 1 12th International Symposium on Digital Earth
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2021, Volume 9, Issue 1 12th International Symposium on Digital Earth
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8947-3 Online Edition
Martin Sudmanns,
Hannah Augustin,
Lucas van der Meer,
Christian Werner,
Andrea Baraldi,
Dirk Tiede
One GUI to Rule Them All: Accessing Multiple Semantic EO Data Cubes in One Graphical User Interface ()
S. 53 - 59doi:10.1553/giscience2021_01_s53 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2021_01_s53
Abstract: Spatio-temporal analysis capabilities of big Earth observation (EO) data are possible now on various infrastructures, but the transferability and interoperability of analyses remain challenging. This contribution describes an approach for interacting with multiple semantic EO data cubes, where for each observation, at least one nominal (i.e., categorical) interpretation is available and can be queried in the same instance. Our in-house developed Web-based graphical user interface (GUI) provides technical access to multiple semantic EO data cubes, regardless of what infrastructure they are implemented on. It is designed to create semantic models using a graphical language, and an inference engine is able to evaluate these models against existing semantic EO data cubes based on a user’s defined area and timespan of interest. Querying on a semantic level allows the transferability of semantic models across EO data cubes. Our contribution shows an approach towards solving this open research gap and discusses relevant challenges such as transferability of semantic models, on-demand instantiation, and federated EO data cubes. We believe that this approach offers new opportunities for improved semantic and syntactic interoperability in EO analyses and is better positioned to allow semantically-enabled queries possible in a federated EO data cube context. Keywords: Big Earth observation data, interoperability, spatio-temporal querying, semantic EO data cubes Published Online: 2021/06/29 09:40:00 Object Identifier: 0xc1aa5576 0x003c9b52 Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |