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Broad Data


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

Published in: Technology, Education
  • 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 - will fix in next version
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  • For the french side, maybe you were talking about
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Broad Data

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