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Smart Cities, Open Data and SMW - SMWCon Spring 2012 Keynote
This document discusses smart cities, open data, and semantic mediawiki (SMW). It provides an overview of a conference on these topics held in Carlsbad, CA in 2012. It discusses the goals of using open data and SMW to stimulate app development, encourage innovation, and create new intellectual property. It also provides examples of how crowdsourcing and incentivized competitions can drive innovation.
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Smart Cities, Open Data and SMW - SMWCon Spring 2012 Keynote
- 1. Smart Cities, Open Data and SMW SMWCon Spring 2012 Carlsbad, CA Watch it on YouTube!
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- 17. The Dat Com a Ts ing unam i!!! Confidential Copyright © 2011 MCUBE Technologies 8
- 18. Confidential Copyright © 2011 MCUBE Technologies 8
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- 23. Citywide Events Calendar Electronics Stores Parking Facili7es Sidewalk Cafes Laundry Facili7es Financial Empowerment Centers IPIS (Integrated Property Informa7on System) City government retrofit projects NYC Civil Service Titles NYC Department of Educa7on Job Titles Lis7ng of cultural organiza7ons with vital stats Programs Funding for FY2010
- 24. Land cover Reservoir and Dam sta7s7cs Hydrostats TSA Entertainment venues TSA Food and Beverage loca7ons TSA Hotels TSA screens TSA pedestrian counts Lincoln Square BID Business List Museums and galleries City government retrofit projects School Point Loca7ons School Zones 2009 School Survey 2010 School Survey
- 25. Main Goals • stimulate development of apps that improve access to info and govt transparency, and; • encourage innovation & the creation of new IP with commercial potential
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- 29. CROWDSOURCING + INCENTIVIZED COMPETITION = INNOVATION
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- 31. CROWDSOURCING • Challenge: Improve Recommendation Algorithm by 10% • Dataset: STATISTICS • 100 million ratings (training set) • just 6 days into contest, • Half a million Users Cinematch bested by 1% • 18 thousand movies • 20,000 Teams, 150 countries • Entrants: • Prize: • Bell Labs One million US Dollars • Opera Solutions • Well-renowned universities
- 32. CROWDSOURCING • Challenge: Improve Recommendation Algorithm by 10% • Dataset: STATISTICS • 100 million ratings (training set) • just 6 days into contest, • Half a million Users Cinematch bested by 1% • 18 thousand movies • 20,000 Teams, 150 countries • Entrants: • Prize: • Bell Labs One million US Dollars • Opera Solutions • Well-renowned universities
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- 39. • Washington DCCTO - Vivek Kundra
- 40. • First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 41. • First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 42. • First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 43. • First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov • Data.gov • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 44. • First Federal CIO - Vivek Kundra • Open Government Initiative • Recovery.gov } • Data.gov Li fe S u pp o r t • USAspending.gov • IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 45. • First Federal CIO - Vivek Kundra • Open Government Initiative • sh ed Recovery.gov } e t• sla o u Li fe t S pp B u dg i lli on Data.gov • m ort $ 34 o n USAspending.gov fr o m •m i l l i $8 IT Dashboard • Performance.gov • Fedspace • Citizen Services Dashboard
- 48. Open Data inNYC Council Member Gale Brewer
- 49. Open Data inNYC Council Member Gale Brewer
- 51. Int. No. 29:Accessibility to Public Data Sets “...requires that all public data sets maintained by City agencies shall be made available on the Internet through a single web portal, formatted to enable viewing by web browsers and mobile devices and also in their raw or unprocessed form.”
- 53. ch and b io ni Principles • Cost Effective • Easy to Use (Developers/Publishers/Citizens) • based on Open Standards • Low Adoption Curve • Help Accelerate Open Data Innovation • Useable Data Now!
- 54. The Next Webof Open Linked Data February 2009
- 55. Useable Data Now • “Beautiful” Website • Useable by Developers/Publishers/Citizens • based on Open Standards • Low Adoption Curve • Help Accelerate Open Data Innovation • Useable Data Now!
- 56. What NYCBigApps Developers were Doing Download & Decipher ETL Text Processes Siloed Data • Spend inordinate amount of time interpreting data • Massaged Data was then staged locally • Developers kept reinventing the wheel • Limited Data mashups • Applications disconnected from NYCDatamine 42
- 57. There must bea Better Way
- 58. How it Started • Oct 12, 2010 - NYCBigApps 2.0 announced • Nov 9, 2010 - NYCBigApps 2.0 kickoff meeting • late Nov 2010 - spoke with Revelytix/Spry about collaborating • early Dec 2010 - started work on NYCDataWeb • Jan 26, 2011 ~4:30p - submitted entry
- 61. What We Did Domain Ontology Query & Results Cache Optimizer Definitions Re-Writer Planner Siloed Data Indexes Rules Re-Writer Optimizer Mapping Ontology Indexes Planner Rules Metadata Ontology 47
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- 63. “Beautiful” Website Three dashboards were built • NYC Agile Analytics (Spry) • NYCreation (SMW+) - visualized SPARQL query results • NYCmantics (SMW+) - NYC datamine explorer
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- 85. Phase 2 • Integrate NYCreation • Make it easier for and NYCmantics Citizens • Incorporate the whole • Incorporate the best of NYC datamine Socrata and data.gov • Make it easier for • Position SMW+ as the Publishers accelerated data mashup platform • Make it easier for Developers • ...powered by NYC DataWeb
- 86. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
- 87. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
- 88. Phase 3 • Open-source • Make it easier STILL for collaboration with Publishers, Developers Revelytix and Citizens (more info at SemTech 2011) • Widespread adoption of • <Your city here> SMW/SMW+ DataWeb • ... keep standing on the • DataWeb Deployment shoulders of giants Framework bundle
- 89. The Genesis of Ontodia • Oct 4, 2011 - “Find your next Startup Partner” meetup - NYEBN • Oct 5, 2011 - Steve Jobs dies • Oct 11, 2011 - NYCBigApps 3.0 announced • Oct 17, 2011 - Joel leaves TCG • Oct 25, 2011 - Ontodia, LLC formed
- 91. Your time islimited. Don’t waste your time living someone else’s life.
- 92. We’re here toput a dent in the universe. Otherwise, why even be here?
- 93. Computers for the rest of us.
- 94. Semantics for the rest of us.
- 95. D8 Conference -Steve Jobs Interview June 1, 2010
- 98. CROWDKNOWING Human-powered, Machine-accelerated, Collective Knowledge Systems
- 99. “Smart” Cities brandof Ontodia
- 101. "Over the next decade, cities will continue to grow larger at a rapid pace. At the same time, new technologies will unlock massive streams of data about cities and their residents. As these forces collide, they will turn every city into a unique civic laboratory—a place where technology is adapted in novel ways to meet local needs." December 2010. Institute of the Future's 2020 Forecast – The Future of Cities, Information and Inclusion.
- 102. Ci4es: Worldwide, city leaders and managers need cost-‐effective & smart solutions Popula'on Growth: -‐ 221 cities globally with more than 1 million citizens -‐ China will move 300 million people to cities by 2020 -‐ 90% of these cities are in emerging markets -‐ In 2008, more people lived in cities (3.3 billion), by 2030, 5 billion -‐ Cities are more efJicient and have less environmental impact Cost of City Services: Aging infrastructure, resource constraints & waste -‐ Washington DC’s water system has elements that date to the Civil War -‐ InefJiciency, leaks and waste rival maintenance and expansion costs source: Gartner – Is Smart Cities the Next Big Market? March 2011
- 103. Why NYC? • City Population: • Gross Metropolitan Product: 8.1 million (2010 Census) USD $ 1.28 Trillion (Greyhill Advisors) • Metro NYC Population: 18.9 million (2010 Census) • DOITT annual budget: USD $325 million • City Density: 10,630/km2 (2010 Census) • ~120 City Agencies/ Departments, each with • Metro NYC Density: multiple datasources and standards 1,085.7/km2 (2010 Census) • 50 million visitors a year • Second only to Silicon Valley for most startups
- 104. Why NYC? • Jan 24, 2011 - First Chief Digital Officer Appointed • May 16, 2011 - NYC Digital Roadmap released • Dec 19, 2011 - Cornell University-Technion-Israel Institute of Technology announced • Mar 7, 2012 - NYC Open Data Bill passed • April 17, 2012 - NYC Open Data Standards wiki launched • April 17, 2012 - NYCBigApps 3.0 awards ceremony
- 110. ROAD MAP FORTHE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
- 111. ROAD MAP FORTHE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
- 112. ROAD MAP FORTHE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011
- 113. ROAD MAP FORTHE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 NYC Open Data
- 114. ROAD MAP FORTHE DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 NYC Open Data
- 115. ROAD MAP FORTHE Linked DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 APIs Data NYC Open ??? Data
- 116. Developers, Businesses, Citizens, etc. ROAD MAP FOR THE Linked DIGITAL CITY ACHIEVING NEW YORK CITY’S DIGITAL FUTURE the city of new york • spring 2011 APIs Data NYC Open ??? Data
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- 119. 0. Huge OpenData 1. Extract Metadata 2. Derive ExtraMetadata (Semantics + Statistics + Algorithm + Crowd) 3. Do Federated Queries on both the Metadata AND the Data Crowdknowing
- 120. Crowdknowing Human-powered, Machine-accelerated, Collective Knowledge Systems
- 121. Crowdknowing Human-powered, Machine-accelerated, Collective Knowledge Systems Ontology, Inferencing, Semantic Curation, Comments, Mapping, Query Federation, Statistics, Feedback, Bug Reports, Pattern Recognition, Multivariate Likes, Shares, Profile, Votes, Analysis & Forecasting, Automated Subscribes, Tagging, linking, Feeds, Notifications etc. etc. etc. etc. etc. etc.
- 122. ...is primarily an OpenData Developer resource
- 124. Hans Rosling Shows thebest stats you've ever seen February 2006
- 125. ... that “SearchFunction” and something for the everyday user
- 126. New York >Manhattan > Midtown > Times Square > 42nd Street What do you want? Top Gluten-free Restaurants Eat for less than $10 Discount Broadway Tickets Item 4 Michelin-rated restaurants Events in the next hour Tourist Resident Business Developer Government
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- 130. We need yourhelp & feedback A Smart Data Exchange for All Data NYC Find out more at http://nyc.pediacities.com/facets
- 131. CREDITS • Lego Faceparty picture by RichardAM (http://www.richard-am.net/) • Lego Inauguration Pictures from various Flickr Users (sluggobear, Atwater, Dan Hontz) • Lego Luke looses his Hand by Flickr user wwwayazdotcom • Tim Berners-Lee highlight from TED (http://www.ted.com/talks/ tim_berners_lee_on_the_next_web.html) • Hans Rosling highlight from TED (http://www.ted.com/talks/ hans_rosling_shows_the_best_stats_you_ve_ever_seen.html) • FlowerPowerpont2.pptx provided by Anna Rosling Rönnlund of gapminder • several images taken from NYC.gov properties • Various screenshots provided by Revelytix, Spry Inc. and TCG Software Services