Collaboratively Conceived, Designed and Implemented: Matching Visualization Tools with Geoscience Data Collections and Geoscience Data Collections with Visualization Tools via the ToolMatch Service.

Abstract:

Two problems common to many geoscience domains are the difficulties in finding tools to work with a given dataset collection, and conversely, the difficulties in finding data for a known tool. A collaborative team from the Earth Science Information Partnership (ESIP) has gotten together to design and create a web service, called ToolMatch, to address these problems. The team began their efforts by defining an initial, relatively simple conceptual model that addressed the two uses cases briefly described above. The conceptual model is expressed as an ontology using OWL (Web Ontology Language) and DCterms (Dublin Core Terms), and utilizing standard ontologies such as DOAP (Description of a Project), FOAF (Friend of a Friend), SKOS (Simple Knowledge Organization System) and DCAT (Data Catalog Vocabulary). The ToolMatch service will be taking advantage of various Semantic Web and Web standards, such as OpenSearch, RESTful web services, SWRL (Semantic Web Rule Language) and SPARQL (Simple Protocol and RDF Query Language). The first version of the ToolMatch service was deployed in early fall 2014. While more complete testing is required, a number of communities besides ESIP member organizations have expressed interest in collaborating to create, test and use the service and incorporate it into their own web pages, tools and / or services including the USGS Data Catalog service, DataONE, the Deep Carbon Observatory, Virtual Solar Terrestrial Observatory (VSTO), and the U.S. Global Change Research Program. In this session, presenters will discuss the inception and development of the ToolMatch service, the collaborative process used to design, refine, and test the service, and future plans for the service.