©2010 semantic technology conference june 21-25, 2010 1 disaster management systems: how we would...
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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
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Outline
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• 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
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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
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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?
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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]
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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
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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
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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)
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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,
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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
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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]
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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
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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
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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)
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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?
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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
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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
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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
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Questions?
Bob Smith – BobSmithTTL@Gmail.comRex Brooks - rexb@starbourne.com
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