Semantic Web and Linked Data at TechMaine Conference

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SEMANTIC & LINKED DATA “COMING OF AGE” Jay Myers, bestbuy.com

description

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

Transcript of Semantic Web and Linked Data at TechMaine Conference

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SEMANTIC & LINKED DATA “COMING OF AGE”

Jay Myers, bestbuy.com

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25 billion web pages in the indexable web

1 trillion unique URLs discovered by Google

109.5 million web sites

1000x more sites in the “deep web”

WEB AT-A-GLANCE

2 billion users

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Worldwidewebsize.com, March 2009 1

Google Official Blog, July 2008

Name Intelligence, May 2009

BrightPlanet, November 2010

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Data via Sco! Brinker, h!p://www.slideshare.net/sjbrinker/semantic-web-summit

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2000 2005 2010 2020

2002: 5 exabytes of data online (total)

2008: 5 exabytes of data flow monthly

2010: 21 exabytes of data flow monthly

2015: 10 ze!abytes digital data online

2020: 25 ze!abytes digital data online

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”Sounds cool, but what is Semantic Web and Linked Data?"

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Turtle

SPARQL

N3

N-Triples

Machine Semantics

RDF/XML

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<html>

Human-readable Semantics

RDFa Microformats

Microdata

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ONTOLOGIES

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Simple form/ user input

Basic transform engine

Human & machine readable data

RDFa

Human-readable Semantics

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Simple form/ user input

Basic transform engine and API

Catalog API

+  

Human & machine readable data

RDFa

Human-readable Semantics

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Human-readable Semantics

RESULTS Openly publishing rich data to the web via employees

Makes every store blog an open data source

Significant rise in organic search traffic

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500 Million Facebook users

190 Million Twitter users

65 Million tweets per day

4 Million Foursquare users

RAW DATA IS PLENTIFUL

Customer forums APIs

Machine Semantics

Internal sales/ customer data

And more! Product data

Mark Zuckerberg, July 2010 1

Twi"er blog, June 2009

Business Insider, October 2010

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Data via Sco! Brinker

Techcrunch, July 2010

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6 Countries

155,000 Employees

10 Brands

1,100+ Stores

1,400 Domains

460,000+ Products

CASE STUDY: BEST BUY

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Best Buy Global Graph

BBY US Mobile App

Data

Best Buy Mobile

BBY QR Code Data

Magnolia

m.bestbuy .com

@twelp- force Twi"er

annot.

Reward Zone

@BestBuy Twi"er annot.

BBY US Local

Stores

BBY US Products

BBY US Employee

Insights

BBY US Site

Analytics Geek

Squad

Pacific Sales

BBY US Facebook

BBY Mobile

Apps

BBY US Customer

Insights Carphone

Warehouse

BBY UK Products

BBY UK Employee

Insights

BBY UK Facebook

BBY UK Site

Analytics

BBY UK Site

Analytics @BestBuy UK

Twi"er

BBY UK Customer

Insights

BBY CA Customer

Insights

BBY CA Site

Analytics

BBY CA Products

@BestBuy CA

Twi"er

BBY CA Local

Stores

BBY CA Customer

Insights

BBY CA Employee

Insights

BBY MX Employee

Insights BBY MX

Local Stores

BBY MX Products

BBY MX Customer

Insights

BBY MX Site

Analytics

BBY TK Products

BBY TK Site

Analytics

BBY TK Employee

Insights

Best Buy US

Best Buy Canada

Best Buy Turkey

Best Buy China

Best Buy UK

Best Buy Mexico

BBY CN Site

Analytics

Five Star Products

BBY CN Products

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STRATEGIC FORMULA

Insight Engine Human-readable

Semantics Machine

Semantics +   =  

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"Many of our greatest companies did not start because they thought there was a big pot of gold at the end of the rainbow. They started because they thought there was an interesting problem to be solved."

- Tim O’Reilly, Web 2.0 Summit 2008

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“…e-commerce still lacks browsing and discovery experiences 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>

PROBLEM: SHRINKING MARGINS & ATTACH RATES

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CREATE PRODUCT RELATIONSHIPS

Margin: -15% Margin: 19%

Margin: 12%

Margin: 49%

Margin: 8%

Margin: 31%

Margin: 17%

Margin: 10%

Margin: 49%

Margin: 21%

Margin: 61%

Margin: 9%

Margin: 10%

Margin: 25%

Margin: 40%

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SPARQL 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”’.

Insight Engine

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"Poor service in the guise of ill-informed store staff creates lack of trust and drives shoppers to look for alternatives."

PROBLEM: DECLINING CUSTOMER SERVICE

- Nigel Fenwick. “Industry Innovation: Retail”. Forrester Research. 28 July 2010 .

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SPARQL 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”’.

Insight Engine

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PROBLEM: STAYING CONNECTED IN THE “CONNECTED WORLD”

Insight Engine

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THANK YOU!

@jaymyers