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Generator workbench

Date post: 14-Apr-2017
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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.
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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 Stack

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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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GeoKnow Architecture

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DEMO (1st part)

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Data processing example

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GeoKnow Architecture

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DEMO (2nd part)

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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Thank you

http://generator.geoknow.eu/


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