Linked Open Data and Next Generation Science Deborah L. McGuinness Tetherless World Senior Constellation Chair Professor of Computer and Cognitive Science Rensselaer Polytechnic Institute, Troy, NY & CEO McGuinness Associates, Latham, NY Earth System Information Partners, Madison Wisconsin, July 18, 2012
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20120718 linkedopendataandnextgenerationsciencemcguinnessesip final
Linked Data and Semantic Technologies can support a next generation of science. This talk shows examples of discovery, access, integration, analysis, and shows directions towards prediction and vision.
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Linked Open Data and Next
Generation Science
Deborah L. McGuinness Tetherless World Senior Constellation Chair
Professor of Computer and Cognitive Science
Rensselaer Polytechnic Institute, Troy, NY
& CEO McGuinness Associates, Latham, NY
Earth System Information Partners, Madison Wisconsin, July 18, 2012
Background I
– Access to data is exploding with open government
data and numerous agencies publishing and
providing services access or at least FOIA access
– Citizen interest and contributions are increasing –
data gathering (e.g., bird observations), reviewing
• What began as Semantic water quality monitoring is now SemantEco –
ecological and environmental monitoring in support of ecosystem analysis
• Now includes endangered species and related health impacts working with
USGS to prototype resource manager dashboard
• Expanding to include citizen science reporting on water on mobile platforms
• Now working with SONet, Santa Barbara County LTER, CUASHI to integrate
other related scientific observations
– Current focus use case ecological researcher
– Find relevant data (within and outside DataOne) by region, timeframe,
chemical, measurement dimension, species
– Currently background ontology is relatively simple and aims more at
discovery and integration
• Semantic Sea Ice project aimed at helping arctic ice researchers find and
evaluate data in support of understanding the state of ice in the arctic
• These technologies span the spectrum of supporting discovery, integration,
analysis, and ultimately prediction 23
Discussion
• Semantic Technologies and Linked Data are powering a wide array of applications – many in Big Science, Team Science, at least interdisciplinary science
• Tools and methodologies are ready for use
• We love to partner in these areas
• What do you need or want from linked data and semantic technologies?
Questions? - Deborah McGuinness
dlm @ cs . rpi . edu
Extra
RDF Data Cube
Vocabulary
• For publishing multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts using RDF.
• Compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange).