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Broad Data

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In this talk I compare "Broad" data, the idea of thousands of datas

In this talk I compare "Broad" data, the idea of thousands of datas

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  • Oh, you know what Facebook will do in September 2012, eh? Btw, I often get the feeling that various Semantic Web/Linked Data etc. protagonists somehow doom the upper parts of the Semantic Web technology stack (whatever ;) ). However, they are also very important. Of course, could/should start with the easier parts, but propagate the impression the other parts are overly complex or not useful. I guess, appliers will notice when they will need those bits too ;)
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  • thanks for catching that - obviously I meant data.gouv.fr - will fix in next version
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  • For the french side, maybe you were talking about www.data.gouv.fr?
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  • http://www.mkbergman.com/458/new-currents-in-the-deep-web/ http://academics.smcvt.edu/sburks/Definition_search_engine.htm
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    • 1. Broad Data Jim Hendler Tetherless World Constellation Tetherless World Professor of Computer and Cognitive Science Director, Information Technology and Web Science Program Rensselaer Polytechnic Institute http://www.cs.rpi.edu/~hendler @jahendler (twitter)
    • 2. Outline (if I stick to it)
      • Big Data ≠ Broad Data
      • Broad Data problem
      • Broad Data Example
        • Open Government Data
      • Broad Data challenges
      • How can you make money off this stuff?
    • 3. BIG Data
      • The term “Big Data” is widely used nowadays
        • 3 main contexts
          • The large data collections of “big science” projects
          • The data holdings of a Google, Facebook or other large Web company
          • The enterprise data of large, non-Web-based companies (IBM, TATA, etc.)
    • 4. Big Data Challenge: Scaling
      • Most of the focus of (current) Big Data research is on scaling (traditional) database-related technologies
        • Schema Modeling
        • Data Warehousing
        • Datamining
        • Statistical analysis
        • Mathematical Analytics
    • 5. How BIG is Big?
      • Science uses some extremely large databases and many of them are crucial to society
        • Petabytes of Data
      • World Wide Web data is also extremely large
        • With primary resources to explore it held by companies
          • eg. Facebook
            • 25 Terabytes of logged data per day; valuation $100B?
          • eg. Google
            • In 2008 it was estimated at 20 petabytes per day (not including youTube); 2010 valuation >$190B
    • 6. Big Data Facebook generates terabytes of data per day What could be learned from this?
    • 7. BIG Data Google uses their data in many ways Search => ads => user
    • 8. Big Data is becoming different on the Web
      • New Work
        • is moving away from traditional relational models
          • cf . NoSQL
        • Moving towards third party application and extension
          • cf . Mobile apps for local governments
        • Includes a focus on interoperability and exchange with “lightweight” semantics
          • Using ideas from the Semantic Web
            • Search: Schema.org
            • Social Networking: OGP
    • 9. BROAD data
      • 4 th context: Broad Data
        • The huge amount of freely available, but widely varied, Open Data on the World Wide Web (Structured and Semi-structured)
          • Example: The extended Facebook OGP graph (the part outside Facebook’s datasets)
          • Example: The growing linked open data cloud of freely available RDF linked data
          • Example: More than 710,000 datasets that are available on the Web free from governments around the world
    • 10. Example: adding “Breadth” April 2010
    • 11. Facebook ’s Open Graph Protocol
      • Facebook now allows other sites to extend the graph
      • Open Graph Protocol uses RDFa to let web sites contain information about the things people “like”
          • og:title - The title of your object as it should appear within the graph, e.g., "The Rock".
          • og:type - The type of your object, e.g., "movie". Depending on the type you specify, other properties may also be required.
          • og:image - An image URL which should represent your object within the graph.
          • og:url - The canonical URL of your object that will be used as its permanent ID in the graph
          • og:description - A one to two sentence description of your object.
          • og:site_name - If your object is part of a larger web site, the name which should be displayed for the overall site. e.g., "IMDb".
        • Not a traditional “ontology”
    • 12. OGP use growing quickly 15,178 sites of top 1,000,000 as of 3/3/11 In Sept 2012 Facebook announced extension of OGP for new uses
    • 13. Goal: OGP-powered social (e-commerce) apps
    • 14. Broad data (in Science)
      • The “ Deep Web ” in Science ( cf . Fox 2011)
        • Data behind web services
        • Data behind query interfaces (databases or files)
      • Introduces a different curation problem
    • 15. Broad Data Science (Fox &Hendler, Science , 2/11/10)
    • 16. BROAD data challenges
      • For broad data the new challenges that emerge include
        • (Web-scale) data search
        • “ Crowd-sourced” modeling
        • rapid (and potentially ad hoc ) integration of datasets
        • visualization and analysis of only-partially modeled datasets
        • policies for data use, reuse and combination.
    • 17. Example: Government Data on the Web
    • 18. Government Data Sharing: “Year 1” January 1, 2009 “ Openness will strengthen our democracy and promote efficiency and effectiveness in Government.” --- President Obama Putting Govt Data online- Data.gov.uk beta May 21, 2009 January 19, 2010 data.gov.uk online May 21, 2010 data.gov online data.gov relaunch with semantic web featured June30,2009 December 8, 2009 “ Open Government Directive ” released 2009 2010 … 57 Data Sets ~6000 Data Set ~2000 Data Sets >305,000 Data Sets
    • 19. Government Data Sharing: Year 2
    • 20. Government Data Sharing: Year 3 2012 so far: http://www.gouv.fr Released 300,000 French databases US/India to release Open Government Platform Kenya announces “Open Africa” project
    • 21. Government Data in the linked open data cloud http://linkeddata.org/ Government Data is currently over ½ the cloud in size (~17B triples), 10s of thousands of links to other data (within and without)
    • 22. Important to the citizens: eg. Education Data.gov.uk RPI NYS demos
    • 23.
      • Government “ Data ” Mashups
    • 24. Data.gov + epa.gov
    • 25.  
    • 26. Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn
    • 27. Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn This mashup was built in less than 4 hours – including conversion of data, web interface, and visualization!
    • 28. Linking to “context” important Datasets: acres burned, and agency budgets Dbpedia: wikipedia descriptions of major US fires
    • 29. Integrate with Social media
    • 30. Combining data from different data sharing sites
    • 31. http://logd.tw.rpi.edu demos, tutorials, RDF-ized datasets, and more
    • 32. Broad Data “Integration” requires simple semantics
    • 33. Example any wikipedia topic!
    • 34. Metadata is crucial for Broad Data
      • Metadata design is crucial to govt data sharing
        • Needed for search and federation in large data sharing efforts
      • International data sharing
        • W3C Govt Linked Data Working Group
        • Need for vocabularies within govt sectors
          • Esp for cross-langauge use
            • How can we compare health (or legal, or social, or ….) data between countries like US, UK, India, Kenya (English) with Norway, China, France, etc.
            • How can we link local govts (in traditional languages, local dialects, etc) w/national data
    • 35. International Open Government Data Search
    • 36. Searching for data
      • Faceted browser with
        • Keyword search
        • Catalogs
        • Countries
        • Agencies
        • Categories
        • (in any order)
    • 37. Details and download… http://logd.tw.rpi.edu/demo/international_dataset_catalog_search
    • 38. Research in Govt Data => Broad Data challenges
      • Trust
        • Government data is controversial, and potentially biased
          • How do we confirm or dispute?
      • Combination
        • When we combine data we need to keep the provenance of information (see trust)
          • How do we make policies explicit and sharable
      • Scaling
        • Our project has already converted 9.9B triples from only >2,000 of the 710,000 government databases we can identify (116 catalogs, 32 countries, 16 languages)
          • Cross-catalog
          • Cross Langauge
      • Versioning and updating
      • Archiving
      • Visualization
    • 39. Exploring new visualizations Data from http://littlesis.org
    • 40. Reaching beyond the government
    • 41. Broad Data Goes Beyond the Govt http://linkeddata.org/
    • 42. Broad Data Challenges
      • Finding and Using Broad Data is an emerging challenge
        • How do I find a dataset in the many out there that might be of use to me?
          • Cannot keyword search in data
        • How do I know what is in a large data store? In the cloud?
          • What is the coverage?
          • What is the access?
          • Who do I need to ask for what
        • What are the rules about using it?
          • What can I combine it with?
          • How do downstream users know I ’ ve combined it
    • 43. Broad Data Market?
      • Significant and growing commercial interest…
        • Web: Google, Amazon, Travelocity…
        • Web 2.0: Facebook, Wikipedia, YouTube, Twitter…
        • Web 3.0: ??
    • 44. Broad Data Market?
      • Significant and growing commercial interest…
        • Web: Google, Amazon, Travelocity…
        • Web 2.0: Facebook, Wikipedia, YouTube, Twitter…
        • Web 3.0: ??
      Broad Data Goes Here
    • 45. Research (and business) Opportunities
      • Broad Data is a great field for those looking for emerging opportunities
        • Tooling is needed
        • (Business) Models are just starting to emerge
        • Scalability Infrastructure is there
        • Massive Distribution (think mobile) is wide open to Web 3.0 innovation
      • Govt data gives us a place to cooperate (with public good) while exploring all of the above
    • 46. Conclusions
      • Big data is going Broad
        • World Wide Web trend towards more and more varied data
          • In many domains
            • E-commerce, Open Govt, many more (cf. Health/Medical care)
      • Broad data requires thinking outside the “Database” box
      • Broad data opens exciting possibilities for research and innovation
        • Come play!

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