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WISE Distributed System

WISE Distributed System. SADL K.U. Leuven Geo Solutions NV. Koen Mertens Jan De Belder Rombout Verwimp. Overall agenda. Part 1: WISE ds theory Part 2: Get it real! + demo Part 3: Results & recommendations + discussion Part 4: Potential use WISE-ESTAT case + demo. Agenda Part 1.

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WISE Distributed System

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  1. WISEDistributedSystem SADL K.U. Leuven Geo Solutions NV Koen Mertens Jan De Belder Rombout Verwimp

  2. Overall agenda • Part 1: WISE ds theory • Part 2: Get it real! + demo • Part 3: Results & recommendations + discussion • Part 4: Potential use WISE-ESTAT case + demo

  3. Agenda Part 1 • Getting started • fundamentals • Architecture • Implementation roadmap

  4. Getting started • Bottum up knowledge building Data analysis art 5 Desktop tools data validation SADL • Basic understanding: • Data • critical validation elements

  5. Data flow analysis Getting started MS REPORTNET INTERNAL PROCESSING WISE viewer USE CASES

  6. Getting started • Legal or xx • WISE implementation plan 2010 • INSPIRE • SEIS • Technical • Evolutions on • Development (more SOA oriented) • hardware • Maturity of enterprise GIS

  7. WISE ds fundamentals • Distributed system • Benefits • Distributed workload • Distributed responsibilities • Re-use of data and software components • data management at the level where it is created • Drawbacks • Management/coordination • Large number of critical components that can fale • Complex data aggregation

  8. WISEds: fundamentals • Multiple dataflows • Obligatory reporting: WFD, BWD, UWWTD, etc • Voluntary reporting: SoE • IN/OUT

  9. WISEds: fundamentals • flow types • Frequency/mechanism • Supported • Type A -> service oriented • Type D -> reportnet • Not supported • Type B, C

  10. WISEds: funadmentals • Use case driven

  11. WISEds: Architecture • Level 1: business

  12. WISEds: Architecture • Level 2: logical components

  13. WISEds Architecture • Level 3: Technical

  14. Overview implementation • Step by step approach • Participatory approach MS/EU/others • Attention thematic/technical • 4 phases • Phase P: pilot phase -> 05/2009 • Phase I: Priority I data flows -> 2011 • Phase II: Priority II data flows -> 2013 • Phase III: priority III data flows -> 2018

  15. Phase P • Pilot Type A art 8 data • Includes candidate MS • WISE data model • Exercise to draft data entities -> logical and physical data model • Identify overlaps between directives/reporting requirements • WISE web services • Beta of WMS service for art3, art8 data • Beta of WFS service for art3, art8 data

  16. Phase I • Define PI data flows • Directives PI • Differentiate reporting elements to type A, D • Define WISE data model • Setup QA/QC rules • Implement flow A directives P1 • Modify REPORTNET to use WISE QA/QC engine • WISE services PI • WMS based on WISE GIS reference datasets e.g. large rivers, lakes… (WFD art3 & 5 data) • WFS based on WISE GIS reference datasets e.g. data large rivers, lakes…

  17. Phase II • Data flows PI • Report via predefined data flow • Define PII data flows • Data flows PII • See actions PI Phase I • WISE services PII • Specific services for WISE community • Development components to facilitate integration WISE services

  18. Phase III • Data flows PI and PII • Report via predefined data flow • Define PIII data flows • Data flows PIII • See actions PI Phase I • WISE services operational

  19. Critical MS contributions (proposal) • Phase I, II & III • To do: • Decide on A, D flow differentiation • QA/QC rules approval • Evaluate/adapt reporting sheets & schemas • Start reporting over flow A • Benefits: • Datasets available through WFS, WMS • Reduced work load through • Reporting streamlining • Quick feedback on data quality • Automatic reporting/evaluation

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