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PRACTICAL APPLICATIONS 
OF SEMANTICS IN RETAIL 
A YEAR OF EXPERIMENTATION 
Jay Myers, Best Buy @jaymyers
Broken data
IMPORTANT INFORMATION 
GETS FILTERED
COMMON DATA FLOW INTO CMS/ PIM 
Data Source(s) PIM/ CMS 
with 
schema 
Accepted 
data 
Discarded 
data 
RDBMS
SEMANTIC METHOD 
Data Source(s) RDBMS 
D2RQ 
RDF & SPARQL
COMPLETE DATA + SEMANTICS = DISCOVERY 
+ +
Product relationships
MOST ENTERPRISE SYSTEMS 
DON’T PROJECT RELATIONSHIP 
DATA
CUSTOMERS WANT TO KNOW 
WHICH PRODUCTS WORK 
TOGETHER
Product Ontology 
Vendor Named Graph 
Vendor Named Graph 
Best Buy Product Data (RDF) 
Data Source(s) 
JSON-LD services
The product long tail
OPPORTUNITY EXISTS TO 
EXPAND REVENUE BY 
EXPLOITING EVERY ITEM IN THE 
PRODUCT CATALOG
PERSONALIZATION DOESN’T 
UNCOVER LONG TAIL PRODUCTS 
…rather than discovering new facts or perspectives when you search 
for news, information, or products, you will be presented with 
“adjacent” concepts. It’s not so much discovery of new ideas as it is 
exploitation of existing ideas. 
Don Peppers, “The Downside of Personalization” 
https://www.linkedin.com/today/post/article/20140620114239-17102372-the-downside-of-personalization 
“
BRING BACK SERENDIPITY!
Best Buy Product Data/ 
Triplestore 
SPARQL 
1688401 
2699008 
3194853 
1754208 
8526165 
7394087 
4760848 
2610041 
5000832 
SKU Results Promo builder 
Dev and biz 
ideation
CONVERSION 
11x 9x 5x 
“Stocking Stuffers” Valentine’s Day St Patrick’s Day 
* vs. standard site conversion
CHALLENGES 
• Enterprise data is still a mess 
• Ontologies/ vocabularies are misunderstood 
• IT focuses on systems, not data 
• Integration into Enterprise systems
POSITIVES 
• Leadership is on board 
• Ontology is now a “thing” internally 
• Positive results from experimentation drive business interest
@JAYMYERS

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