Semantic Web and Linked Data at TechMaine Conference

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Slides from TechMaine 2010 presentation about Semantic Web, Linked Data, and their impacts on business and ecommerce

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Semantic Web and Linked Data at TechMaine Conference

  1. 1. SEMANTIC & LINKED DATA“COMING OF AGE”Jay Myers, bestbuy.com
  2. 2. WEB AT-A-GLANCE 25 billion web pages in the indexable web 1 1 trillion unique URLs discovered by Google 2 109.5 million web sites 3 2 billion users 1000x more sites in the “deep web” 41 Worldwidewebsize.com, March 20092 Google Official Blog, July 20083 Name Intelligence, May 20094 BrightPlanet, November 2010Data via Sco Brinker, h p://www.slideshare.net/sjbrinker/semantic-web-summit
  3. 3. 2020: 25 ze abytes digital data online 2002: 5 exabytes of data online (total) 2010: 21 exabytes of data flow monthly2000 2005 2010 2020 2015: 10 ze abytes 2008: 5 exabytes of digital data online data flow monthly
  4. 4. ”Sounds cool, but what is SemanticWeb and Linked Data?"
  5. 5. RDF/XML N3 MachineTurtle Semantics N-Triples SPARQL
  6. 6. RDFa Microformats Human-readable Semantics <html>Microdata
  7. 7. ONTOLOGIES
  8. 8. Simple form/ Basic transform Human & machine user input engine readable data RDFa Human-readable Semantics
  9. 9. Simple form/ Basic transform Human & machine user input engine and API readable data Catalog API +   RDFa Human-readable Semantics
  10. 10. RESULTSOpenly publishing rich data to the web via employeesMakes every store blog an open data sourceSignificant rise in organic search traffic Human-readable Semantics
  11. 11. RAW DATA IS PLENTIFUL 500 Million Facebook users 1 190 Million Twitter users 2 65 Million tweets per day 3 4 Million Foursquare users 4 Customer forums APIs Internal sales/ customer data Product data And more!1 Mark Zuckerberg, July 20102 Techcrunch, July 20103 Twi er blog, June 20094 Business Insider, October 2010 MachineData via Sco Brinker Semantics
  12. 12. CASE STUDY: BEST BUY 1,100+ Stores 155,000 Employees 460,000+6 Countries Products 10 Brands 1,400 Domains
  13. 13. BBY US @BestBuy BBY UK BBY US BBY US BBY UK Local Twi er Customer Facebook Customer Facebook Stores annot. BBY UK Insights Insights Employee Carphone Reward Insights Warehouse BBY US Zone @twelp- force Twi er BBY UK Products Best Buy annot. Site Mobile @BestBuy Best Buy Analytics UK UK Twi er BBY UKBBY QR m.bestbuy Products BBY US Best Buy Code .com Employee US Data Insights BBY UK Site Analytics BBY Mobile BBY US Site Apps Analytics Geek Best Buy Squad Global BBY CN BBY US Best Buy Site Mobile App Magnolia Pacific Graph China Analytics Data Sales BBY CA BBY CA Employee Insights BBY CN Local Five Star Products Stores BBY MX Products Site Analytics BBY CA Customer Best Buy Best Buy BBY TK Insights Canada BBY CA Mexico BBY MX Products Customer Products Best Buy Insights Turkey BBY CA BBY MX Products BBY CA BBY MX Customer BBY TK Site BBY MX Employee BBY TK @BestBuy Insights Site Analytics Local Insights Employee CA Analytics Stores Insights Twi er
  14. 14. STRATEGIC FORMULAHuman-readable Machine Semantics +   Semantics =   Insight Engine
  15. 15. "Many of our greatest companies did not start because theythought there was a big pot of gold at the end of the rainbow.They started because they thought there was an interestingproblem to be solved." - Tim O’Reilly, Web 2.0 Summit 2008
  16. 16. PROBLEM: SHRINKINGMARGINS & ATTACH RATES“…e-commerce still lacks browsing and discoveryexperiences that satisfy curiosity." -  Alexander Gruensteidl. “Four Keys to Surviving the Future of Retail”. 09 September 2010 . <h p://www.fastcodedesign.com/1662269/changing- retail-currency>
  17. 17. CREATE PRODUCTRELATIONSHIPS Margin: 49% Margin: 10% Margin: 17% Margin: 9% Margin: 31% Margin: 49% Margin: 10% Margin: 61% Margin: 19% Margin: -15% Margin: 8% Margin: 25% Margin: 12% Margin: 21% Margin: 40%
  18. 18. SPARQLInsight Engine select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where { ?s1 rdfs:comment ?text . ?text bif:contains ’”Netbook”’.
  19. 19. PROBLEM: DECLININGCUSTOMER SERVICE"Poor service in the guise of ill-informed store staff createslack of trust and drives shoppers to look for alternatives." - Nigel Fenwick. “Industry Innovation: Retail”. Forrester Research. 28 July 2010 .
  20. 20. SPARQLInsight Engine select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where { ?s1 rdfs:comment ?text . ?text bif:contains ’”LCD TV”’.
  21. 21. PROBLEM: STAYINGCONNECTED IN THE“CONNECTED WORLD” Insight Engine
  22. 22. THANK YOU!@jaymyers

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