Linked Science Enablement via Semantic Interoperability and Spatial Data Mining
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| Title: | Main Title: Linked Science Enablement via Semantic Interoperability and Spatial Data Mining |
| Descriptions: | Abstract: We are now witnessing a large-scale need for the use of spatial information. Examples range from monitoring of deforestation in the Amazon to everyday applications for navigation and map-based visualizations. However, the central theories for Geographic Information Science (GIScience) need to be developed further in order to support the range of useful applications of geographic information in the society. For this there is a need to understand whether the study of scientific assets and their spatial, temporal and thematic could help to reveal useful new theories. The task is to all of these assets like publications, scientific data, methods, tools or tutorials – and represent their links to each other and to space, time and themes. The core question thus is: can we interconnect all scientific assets? This calls for efficient methods to answer questions of where, when, what, who (and even why) about each asset. Linked Data provides means for both the representation and accessing of data about the scientific assets on the web. This way it becomes possible – likely for the first time – to study on a large scale what kind of stories the data about scientific assets has to tell. Spatial data mining together with ontological reasoning can help us make aggregations, visualizations, abstractions, and thus allow for exploration of massive collections of scientific data and related assets. If we achieve in interconnecting different assets then we can achieve Linked Science where not only different assets are connected but also different disciplines. In this paper we discuss the role spatial data mining, semantic interoperability, vocabularies and visualization to support enabling of Linked Science. We also provide examples from our different Linked Science projects to illustrate the ideas. Series Information: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 31-37 |
| Identifier: | 10.5880/TR32DB.KGA96.6 (DOI) |
| Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
| Creator: | Tomi Kauppinen (Author) |
| Contributors: | Constanze Curdt (Editor), Christian Willmes (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2016 |
Topic
| Subjects: | Keywords: Data Management, Research Data |
File Details
| Filename: | Kauppinen_2016_KGA96.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 7 Pages 889 Kilobytes |
| File Size: | 889 KB |
| Date: | Issued: 29.12.2016 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Tanja Kramm |
| Metadata Created: | 12.01.2017 |
| Metadata Last Updated: | 12.01.2017 |
| Subproject: | Z1 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 698 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 6 |
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
