Collaboratively Conceived, Designed and Implemented: Matching Visualization Tools with Geoscience Data Collections & Geoscience Data Collections with Visualization Tools via the ToolMatch Service
The document describes the ToolMatch service, which was collaboratively conceived, designed, and implemented to match visualization tools with geoscience data collections and vice versa. It does this by having tools and data collections submit key characteristics to a knowledge base, then uses that information to determine matches between tools that can be used with certain data formats/features and data collections that are compatible with certain tools. The service uses various ontologies and a suite of semantic web tools for its implementation. It provides initial use cases as examples and outlines next steps to expand its capabilities.
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Collaboratively Conceived, Designed and Implemented: Matching Visualization Tools with Geoscience Data Collections & Geoscience Data Collections with Visualization Tools via the ToolMatch Service
1. • Initial development & subsequent refinement of use cases
• Development team from ESIP Semantic Web cluster
• Re-use of related ontologies
• Submission of key characteristics of Tools & Data
Collections in Knowledge Base (triple store)
• Use of eclectic suite of tools for ontology creation &
expression, concept mapping, form creation, web services &
results display
Collaboratively Conceived, Designed and
Implemented: Matching Visualization Tools
with Geoscience Data Collections & Geoscience
Data Collections with Visualization Tools via the
ToolMatch Service
Nancy Hoebelheinrich1 (nhoebel@kmotifs.com), Christopher Lynnes2
(christopher.s.lynnes@nasa.gov), Matt Ferritto3 (ferrim2@rpi.edu), Patrick West3
(westp@rpi.edu)
1 Knowledge Motifs,
2 NASA Goddard Space Flight Center, Greenbelt, MD
3 Rensselaer Polytechnic Institute, Troy, NY
For more information:
ToolMatch on github:
https://github.com/ESIPFed/Toolmatch
ESIP ToolMatch wiki page:
http://wiki.esipfed.org/index.php/ToolMatch
Sponsors:
• ESIP
Definitions of Terms:
CMAP/COE – Concept Mapping Application Ontology Editor, built on top of the IGMC CmapTools
concept mapping software
DC Terms – Dublin Core Terms (http://purl.org/dc/terms/)
DOAP – Description of a Project ontology (http://usefulinc.con/ns/doap#)
ESIP – Earth Science Information Partners (http://www.esipfed.org)
FOAF – Friend of a Friend (http://xmlns.com/foaf/0.1/)
OWL – Web Ontology Language
RDFS – Resource Description Framework Schema
RPI/TWC – Rensselaer Polytechnic Institute / Tetherless World Constellation
SPARQL – Simple Protocol and RDF Query Language
I have data & need to know which tools I can use
• I need data with measurements of atmospheric aerosol
optical depth sliced along latitude and longitude, returned as
netcdf data, and accessible in MatLab
Initial Use Cases:
I have tools & need to know what data can be used with
them
• I want to be able to plot, as a time series, carbon dioxide
concentrations using an IPython Notebook.
• After discovering data collections that are accessible via
OPeNDAP Hyrax in HDF5 format, what can I do with the
resulting data products?
Tool Ontology:
Areas of Collaboration:
Collaborators:
Matching and Linking:
Panoply can Display Swatch Data via OPeNDAP on a Map
Datasets available in
Giovani available in
certain formats with
certain features. Which
tools can be used to
visualize them?
Enter information
about a dataset given
its DOI or URI …
Get a set of tools that match
Next Steps:
• Collect information about more tools using crowd sourcing
• Complete implementation of the matching capabilities
• Splash screens for instance data to include schema.org and RDFa marckup
Capabilities: