This document discusses the GeoKnow Generator, which brings geospatial data into enterprises. It presents several use cases for the GeoKnow Generator in areas like supply chain, e-commerce, tourism, and crisis management. It also outlines requirements for the GeoKnow stack and architecture. The GeoKnow Generator workbench allows users to process geospatial data through its integrated tools in a modular and scalable way. It demonstrates the workbench's capabilities for linked data processing and integration of various software tools. Future work aims to improve benchmarking, security, workflow integration and tool-specific knowledge sharing.

1. 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.

2. 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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3. Requirements Collection
Official Use cases, Survey and
GeoKnow DoW
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User requirements categories Addressed requirements

4. GeoKnow Stack
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5. 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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6. 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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7. GeoKnow Architecture
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8. DEMO (1st
part)
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9. Data processing example
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10. GeoKnow Architecture
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11. 11
DEMO
(2nd part)

12. 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/