Date post: | 14-Apr-2017 |
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Technology |
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Making the web an exploratory place for geospatial data
http://geoknow.eu
GeoKnow Generator: Bringing Geospatial Data into the Enterprise
by Alejandra Garcia Rojas M.
Use Cases
GeoKnow Use Cases Supply Chain e-Commerce Tourism
Complementary Use Cases Exposing INSPIRE SDI as RDF LINDAS : e-Government Services Statistical Data in the Serbian CKAN Spatio-temporal analysis for the SBRA Continental Automotive GmbH Tourist Guides Crisis Management and Semantic Routing Validating Geospatial coordinates in DBpedia
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Requirements Collection
Official Use cases, Survey and GeoKnow DoW
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User requirements categories Addressed requirements
GeoKnow Generator Workbench System Requirements
Scalability for working with large data sets Authentication, Authorization and Role Management
as a primary requirement in companies Data Provenance tracking for traceability of changes Job Monitoring and Robustness for applicability in
production Modularity and Composability in order to provide
exibility w.r.t. integrating additional tools
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Workbench integration
Challenges Different kind of software Inter-component data sharing Unified look and feel
Principles Tool distribution via Debian packaging REST API enabled components Common Sparql endpoint sharing
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Conclusions and Future Work
★ Enterprise enabled Workbench Linked Data ★ 12 out of 14 tools integrated in the Workbench ★ Lambda users can perform data processing tasks ➔ Data processing benchmark ➔ Improve tool secure communication ➔ Integrate an interface for workflows ● Tool-specific knowledge is still a challenge
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