Semantic Web Presentation at University of St Thomas,ust seis752
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The document discusses the growth of semantic and linked data on the web, highlighting the vast expansion of web pages, users, and digital data from 2000 to 2020. It explains various mechanisms and technologies that provide machine-readable semantics such as RDF, SPARQL, and Open Graph for enhancing data accessibility and connectivity. The document emphasizes the role of rich, structured data in improving online user experience and insights for businesses.
Semantic Web Presentation at University of St Thomas,ust seis752
- 1. SEMANTIC & LINKED DATA “COMING OF AGE” Jay Myers, bestbuy.com
- 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” 4 1 Worldwidewebsize.com, March 2009 2 Google Official Blog, July 2008 3 Name Intelligence, May 2009 4 BrightPlanet, November 2010 Data via Sco Brinker, h p://www.slideshare.net/sjbrinker/semantic-web-summit
- 4. 2020: 25 ze abytes digital data online 2002: 5 exabytes of data online (total) 2010: 21 exabytes of data flow monthly 2000 2005 2010 2020 2015: 10 ze abytes 2008: 5 exabytes of digital data online data flow monthly
- 5. ”Wow. But what is Semantic Web and Linked Data?"
- 6. RDF/XML N3 Machine Turtle Semantics N-Triples SPARQL
- 7. RDFa Microformats Human-readable Semantics <html> Microdata
- 8. ONTOLOGIES
- 9. Rich Snippets • Reviews • Products • Review ratings • Organizations • People • Breadcrumbs • Events • Recipes Human-readable Semantics
- 11. <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: </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"> <a href="#customerreviews">Read reviews (179)</a></span> </div> </div> </div> <hr /> </div> Human-readable Semantics
- 12. <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
- 15. <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
- 18. Simple form/ Basic transform Human & machine user input engine readable data RDFa Human-readable Semantics
- 19. 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
- 20. 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 2010 2 Techcrunch, July 2010 3 Twi er blog, June 2009 4 Business Insider, October 2010 Machine Data via Sco Brinker Semantics
- 21. 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 UK BBY 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
- 22. SPARQL Global 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”’.
- 23. SPARQL Global 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”’.
- 24. STRATEGIC FORMULA Human-readable Machine Global Graph Semantics + Semantics = of Data
- 25. UBIQUDOUS CONNECTIVITY Global Graph of Data