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07/04/22 ©2010 Semantic Technology Conference June 21-25, 2010 1 Disaster Management Systems: How we would conduct Haitian Water System Recovery Planning A Walk-Through using a Road Map built with a Model Based Semantic Analysis Tool and Linked Open Data Bob Smith and Rex Brooks 5/18/2010 1

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Page 1: ©2010 Semantic Technology Conference June 21-25, 2010 1 Disaster Management Systems: How we would conduct Haitian Water System Recovery Planning A Walk-Through

04/21/23 ©2010 Semantic Technology ConferenceJune 21-25, 2010 1

Disaster Management Systems:

How we would conduct Haitian Water System Recovery Planning

A Walk-Through using a Road Map built with a Model Based Semantic Analysis Tool and

Linked Open DataBob Smith and Rex Brooks

5/18/2010 1

Page 2: ©2010 Semantic Technology Conference June 21-25, 2010 1 Disaster Management Systems: How we would conduct Haitian Water System Recovery Planning A Walk-Through

04/21/23 ©2010 Semantic Technology ConferenceJune 21-25, 2010 2

Outline

5/18/2010 2

• Overview and Take-Away

• Haiti as an Instance of a Disaster: Before & After Earthquake of January 12, 2010

• A Project Road Map: From LOD idea to Web Prototype

• Summary and Conclusions

• Questions

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Overview and Take Away (part 1)

• How thinking about problems and solutions has changed since the advent of the Web– Matching problem and solution (examples)

• Scale• Scope

– Decision Support Systems• Evolved from MIS to DSS to Group DSS to Collaboration• Today: (Models Data Semantics Knowledge = ??)• Tomorrow: ( TBD- with SemTech 2010 a check point)

– Disaster Management Systems Key Links• Water Systems Planning Water Systems Planning

Water Systems Recovery after a Catastrophic Disaster

5/18/2010 3

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Overview and Take Away (part 1)– Disaster Management Systems Knowledge

Gathering Key Links• Simple Data Inadequate, We need Knowledge

– Data needs Context: Data + Semantics =Information– Information needs Context: Semantics + Semantic Search

for “Related” Information = Knowledge • Knowledge Domain Key Link 1:Water Systems • Knowledge Domain Key link 2: Planning Water Systems • Knowledge Domain Key Link 3: Planning Water Systems

Recovery after a Catastrophic Disaster

5/18/2010 4

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Overview and Take Away (part 2)Linked Open Data Potential Benefits

• Historically projected benefits from Linked Open Data– The early Vision in Market Niches– How the semantics of LOD changes with the

Topic• Pioneer adopter niches• Early adopter niches• Wider adoption

– Wicked problems, Appropriate technologies?

5/18/2010 5

Page 6: ©2010 Semantic Technology Conference June 21-25, 2010 1 Disaster Management Systems: How we would conduct Haitian Water System Recovery Planning A Walk-Through

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Haiti as an Instance of a Disaster

• An Instance of a Disaster compounded by the lack of a Disaster Management System– Needed decades ago

• [Pictures/Diagrams]

5/18/2010 6

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Infrastructure and Water Systems Before Jan. 12, 2010 7.0 Earthquake

• Extreme poverty and concentration of population in Capital City of Port au Prince; Weak Gov’t of Haiti (GoH)

• Poster Child for many Non-Governmental Organizations (NGO)– 10,000 NGOs– Foreign donors– World Bank, Inter-American Development Bank, Etc.

• Corruption factors in Gov’t NGOs takeover of water, sanitation, health care, education

5/18/2010 7

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Haitian Water Systems – Pre Quake

• Different methods of modeling a Domain such as Water Systems, Planning Systems, Rebuilding Systems– Conditions prior to the quake

• Lack of strong building standards for quakes, fire, sustainable services (Compared to our* references)

• Lack of documentation standards• Lack of water treatment standards• Lack of State to County to City General Plans and

Planning capability• Lack of widespread internet access

5/18/2010 8

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Haiti – Post 12 Jan. 2010 Quake

• Reported Events (What you see depends on where you sit)– World Bank makes Initial Needs Assessment

of ~$11.5 Billion US (Note Open Data Initiative?)

– UN and International Relief Agencies respond• On the ground: Temporary shelters and detailed

Needs Assessments (early chaos yields to some stability)

5/18/2010 9

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Haiti – Post 12 Jan. 2010 Quake

– Donors Conference (Preparations and 3-31-2010 Workshops)

• Theme: Build Back Better• Eventual release of an Action Plan for next 18

months and references to 2 years, 5 years, 10 years, and 20 year visions

• World Bank takes on Multi-Donor Funds management and control

• Coordination with UN Special Envoy- Interim Haiti Rebuild Council

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Haiti – Post 12 Jan. 2010 Quake

– Decision Support: Strong GIS Mapping, Google Docs, Fusion Tables, Wikis for global coordination and local services

• A very rich body of Potential LOD materials to consider

• Growing concern for accountability of funds, GoH Incentives & Decentralize to Regions, develop ICT infrastructure,

5/18/2010 11

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Project Road MapOur Processes and Intended Results

• Phase 1: Defining the Clients Problem, Scope, Expectations

• Phase 2: Collecting Data, Modeling, Leveraging Resources and Tools

• Phase 3: Model Improvements and Tuning

• Phase 4: Web Service Delivery

• Phase 5: Maintenance

5/18/2010 12

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Phase 1: Interview Client to Agree on Problem, Scope, Expectations

• First: Interview the clients– – Pre-Planning Interview Questions to Elicit "the Client"

view of the “PROBLEM" [Allow questions to be asked and answered,]

– Explain & Describe Tools and Context– Key Knowledge Gathering Link 2: Planning Water

Systems:• Key Knowledge Gathering Links are not introduced in the

Sequence they occur during the planning process• The context for “Planning Water Systems.) [ An Ontology

here was helpful – 5Ps framework]

5/18/2010 13

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Phase 1: Interview Client to Agree on Problem, Scope, Expectations

• Second: What can we can do with LOD right now? – Bizer’s How To -- LOD – Goals and Objectives in Org Context (Assume role

relative to “Friends of Bill” Clinton?) – OFPD/X + BIMStorm = Collaborative Planning

Support• Third: System Description Methodology

– Knowledge Gathering Key Link 1: Water Systems at most General Level—The Big Picture

5/18/2010 14

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Phase 2: Collecting Data and Leveraging Tools

• Inputs– Key artifacts: (Documents, Databases, other

Information & Real World Resources on the ground and Official sources)

– Vocabulary and LOD guidance• Processing these artifacts using our Model

Based Semantic Analysis Tool: what makes sense? What does not?

• Clarifying our understanding of the problem and context – working through fail points

• Talking about the three “Buckets” or high level categories

5/18/2010 15

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Phase 3: Model Improvements and Tuning

• Developing 3 Knowledge Domains - Model Building

• URLs in specific domains and market niches• Explorations within each of selected URLs

– Water Systems– Science (Sometimes Open)– Engineering (Often proprietary)

5/18/2010 16

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Screenshots

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Phase 3: Model Improvements and Tuning

• Developing 3 Knowledge Domains - Model Building

• URLs in specific domains and market niches• Explorations within each of selected URLs

– Water Systems PLANNING• Architectural – Engineering – Construction –

Operations life cycle• Innovative or Business as usual? Open?

Sustainability values?• Regulatory Institutional Brittleness? Integrated

City-based 5D?

5/18/2010 18

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Screenshots

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Phase 3: Model Improvements and Tuning

• Developing 3 Knowledge Domains - Model Building

• URLs in specific domains and market niches• Explorations within each of selected URLs

– Water Systems Planning for REBUILDING after a catastrophic Disaster

– Connecting the Water Systems and Planning Systems knowledge

– Interpreting the Action Plan and Current Situation Reports (gaps)

– Anticipating the questions that could/would/should be asked

5/18/2010 20

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Screenshots

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Phase 4: Web Service DeliveryOur Future Work

• Delivery Web Services to Clients– Open Linked Services Processes & Results

• Operations• Marketing• Finance• Management

• Maintenance

5/18/2010 22

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Summary and Conclusions

• Learning to ask the right questions per topic and client

•  Resources and Fail Points

•  Next Steps ( collaboration with CMU - DMI; OFPD/X; BIM)

•  Long term integration as technology and organizations “mature” – values in Planning Systems

5/18/2010 23

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Questions?

Bob Smith – [email protected] Brooks - [email protected]

5/18/2010 24