Semantic Web Presentation at University of St Thomas,ust seis752

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Presentation slides from talk at University of St Thomas in St Paul, MN -- Graduate Programs in Software

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Semantic Web Presentation at University of St Thomas,ust seis752

  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. Your data here?  
  4. 4. 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
  5. 5. ”Wow. But what is Semantic Weband Linked Data?"
  6. 6. RDF/XML N3 MachineTurtle Semantics N-Triples SPARQL
  7. 7. RDFa Microformats Human-readable Semantics <html>Microdata
  8. 8. ONTOLOGIES
  9. 9. Rich Snippets•   Reviews   •  Products•   Review ratings •  Organizations•  People •  Breadcrumbs•  Events•  Recipes Human-readable Semantics
  10. 10. <div  id="productsummary">    <div  class="pdpsummarybox">      <h1>Apple®  -­‐  iPad™  with  Wi-­‐Fi  -­‐  16GB</h1>        <div  id="detailband">          <strong>Model:</strong>MB292LL/A<span  class="sep">  |</span>          <strong>SKU:</strong>9811355<br/>          <div  id="reviewband"><strong>Customer  Reviews:&nbsp;</strong><img  src="misc/raXngs_star_4_1.gif"  alt="4.1  out  of  5  stars"  />          <span  id="reviewscore"><strong>4.1</strong></span>          <span  id="reviewnum">&nbsp;<a  href="#customerreviews">Read  reviews  (179)</a></span>        </div>      </div>    </div>      <hr  />    </div>   Human-readable Semantics
  11. 11. <div  id="productsummary"  xmlns:v="h^p://rdf.data-­‐vocabulary.org/#"  xmlns:gr="h^p://purl.org/goodrelaXons/v1#">    <div  class="pdpsummarybox"  typeof="v:Review-­‐aggregate">      <h1><span  rel="v:itemreviewed">Apple®  -­‐  iPad™  with  Wi-­‐Fi  -­‐  16GB</span></h1>        <div  id="detailband"  rel="v:raXng">          <strong>Model:</strong><span  property="gr:hasMPN">MB292LL/A</span><span  class="sep">  |</span>          <strong>SKU:</strong><span  property="gr:hasStockKeepingUnit">9811355</span><br/>          <div  id="reviewband"  typeof="v:RaXng">          <strong>Customer  Reviews:</strong><img  src="misc/raXngs_star_4_1.gif"  alt="4.1  out  of  5  stars"  />          <span  id="reviewscore"  property="v:average">4.1</strong></span>          <span  content="5"  property="v:best"/></span>          <span  id="reviewnum"><a  href="#customerreviews">Read  reviews  (<span  property="v:count">179</span>)</a></span>        </div>      </div>    </div>      <hr  />   Human-readable</div>   Semantics
  12. 12. Facebook Open Graph
  13. 13. <html  xmlns:og="h^p://ogp.me/ns#">    <head>      <meta  property="og:Xtle"  content="ImporXka  –  Thermometer,  THERM(W/Clip)"  />      <meta  property="og:type"  content="product"  />      <meta  property="og:url"  content="h^p://www.bestbuy.com/products/ImporXka+Thermometer/9972587"  />      <meta  property="og:image"  content="h^p://images.bestbuy.com/BestBuy_US/images/products/9972587_sb.jpg"  />      <meta  property="og:site_name"  content="Best  Buy"  />      <meta  property="og:descripXon"  content="This  thermometer  features  a  large  dial  for  easy  readability  and  a  clip  to  keep  it  in  place  when  not  in  use"  />    </head>   Human-readable Semantics
  14. 14. Human-readable Semantics
  15. 15. Simple form/ Basic transform Human & machine user input engine readable data RDFa Human-readable Semantics
  16. 16. RICH DATA EXTRACT www.bestbuy.com/products/availability;zip=55428;upc=0036725233539;   Offer    includesObject  =  Samsung  40"  Class  LCD      hasStockKeepingUnit  =  9791235      hasMPN  =  LN40C630K1F      hasEan_UCC-­‐13  =  0036725233539      amountOfThisGood  =  1.0    availableAtOrFrom      label  =  Best  Buy  Brooklyn  Center  MN        street-­‐address  =  5925  Earle  Brown  Dr        locality  =  Brooklyn  Center        region  =  MN        postal-­‐code  =  55430          
  17. 17. 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
  18. 18. 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
  19. 19. SPARQLGlobal Graph select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where of data { ?s1 rdfs:comment ?text . ?text bif:contains ’”Netbook”’.
  20. 20. SPARQLGlobal Graph select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where of data { ?s1 rdfs:comment ?text . ?text bif:contains ’”LCD TV”’.
  21. 21. STRATEGIC FORMULAHuman-readable Machine Global Graph Semantics +   Semantics =   of Data
  22. 22. UBIQUDOUSCONNECTIVITY Global Graph of Data
  23. 23. THANK YOU!@jaymyers

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