A Rules-based Service for Suggesting Visualizations to Analyze Earth Science Phenomena

Prabhu, Anirudh
Zednik, Stephen
Fox, Peter
Ramachandran, R.
Maskey, M.
No Thumbnail Available
Other Contributors
Issue Date
Terms of Use
Full Citation
Prabhu A, Zednik S, Fox P, Ramachandran R, Maskey M (2019) A Rules-based Service for Suggesting Visualizations to Analyze Earth Science Phenomena. US2TS Second Meeting.
Current Earth Science Information Systems lack support for new or interdisciplinary researchers, who may be unfamiliar with the domain vocabulary or the breadth of relevant data available. We need to evolve the current information systems, to reduce the time required for data preparation, processing and analysis. This can be done by effectively salvaging the "dark" resources in Earth Science. We assert that Earth science metadata assets are dark resources, information resources that organizations collect, process, and store for regular business or operational activities but fail to utilize for other purposes. In order to effectively use these dark resources, especially for data processing and visualization, we need a combination of domain, data product and processing knowledge, i.e. a knowledge base from which specific data operations can be performed. In this presentation, we describe a semantic, rules based approach to provide i.e. a service to visualize Earth Science phenomena, based on the data variables extracted using the "dark" metadata resources. We use Jena rules to make assertions about compatibility between a phenomena and various visualizations based on multiple factors. We created separate orthogonal rulesets to map each of these factors to the various phenomena. Some of the factors we have considered include measurements, spatial resolution and time intervals. This approach enables easy additions and deletions based on newly obtained domain knowledge or phenomena related information and thus improving the accuracy of the rules service overall.