Unlocking Content with 
Maximize the value 
of your content 
1/36th scale 
Metadata + Semantics 
Matt Turner 
CTO Media and Publishing 
Matt.turner@marklogic.com 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 1 CORPORATION. ALL RIGHTS RESERVED.
Continuous, Unpredictable Change 
Online Ad Revenue 
1994-2000 
Digital Music Sales 
1997-2009 
EBook Sales 
2002-2010 
Digital Video Revenue 
2008 - 2014 
Mobile Usage 
2008-2016 (projection) 
SLIDE: 2 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Mass Media to Mass Customization 
SLIDE: 3 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Metadata Makes an Impact 
SLIDE: 4 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Across Every Type of User and Operation 
Production 
File Name 
Format 
Create Date 
Rights 
Caption 
Operations 
Story 
Title 
Run Date 
Credit 
Position 
Distribution 
Category 
License Type 
Key Colors 
Scene 
Shape 
Accoujnting 
Costs 
Rights 
Usage 
Revenue 
Photographer 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 5 CORPORATION. ALL RIGHTS RESERVED.
TRADITIONAL METADATA 
APPROACHES 
© COPYRIGHT 2013 MARKLOGIC SLIDE: 6 CORPORATION. ALL RIGHTS RESERVED.
Metadata in Rows and Columns 
 Everything up front 
 Complexity of schema versus flexibility 
 How many actors? Producers? 
 Selective inclusion of data 
 Has to be designed for a single 
purpose 
 Difficult to adapt and include new data 
Title ProductionDate Category AssetType Length 
Film1 3/1/14 Feature HD Master 2:40 
Show1 6/4/13 Series HD720 0:40 
Film2 6/4/05 Feature Archive 1:55 
? 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 7 CORPORATION. ALL RIGHTS RESERVED.
With Fixed Taxonomies 
 Hierarchical levels of metadata 
 Fixed to a specific business purpose 
 Each asset can only be associated 
with one level 
 How many category fields? 
Category 
Feature 
Series 
Action 
Drama 
Comedy 
Documentary 
… 
Cable 
Broadcast 
Drama 
Comedy 
… 
Action 
Drama 
Family 
Documentary 
? … 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 8 CORPORATION. ALL RIGHTS RESERVED.
Traditional Approach 
 Multiple categories, overlapping 
genres and real-world data problems 
stymie this approach 
 100s of metadata fields 
 Metadata can’t be used across all 
parts of the business 
 The model is inflexible and 
incomplete 
Title ProductionDate Category AssetType Length 
Film1 3/1/14 Feature HD Master 2:40 
Show1 6/4/13 Series HD720 0:40 
Film2 6/4/05 Feature Archive 1:55 
Category 
Feature 
Series 
Action 
Drama 
Comedy 
Documentary 
… 
Cable 
Broadcast 
Drama 
Comedy 
… 
Action 
Drama 
Family 
Documentary 
… 
? 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 9 CORPORATION. ALL RIGHTS RESERVED.
SEMANTICS, NOSQL + CONTEXT 
© COPYRIGHT 2013 MARKLOGIC SLIDE: 10 CORPORATION. ALL RIGHTS RESERVED.
Data Drives the Need for a New Generation Database 
Hierarchical Era 
For your application 
data! 
• Application- and 
hardware-specific 
Relational Era 
“For all your structured 
data!” 
• Normalized, tabular 
model 
• Application-independent 
query 
• User control 
Any Structure Era 
“For all your data!” 
• Schema-agnostic 
• Massive scale 
• Query and search 
• Analytics 
• Heterogeneous data 
• Faster time-to-results 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 11 CORPORATION. ALL RIGHTS RESERVED.
Machines Don’t Get Context . . . 
Manu Sporny Founder/CEO - Digital Bazaar, Inc. 
http://www.cambridgesemantics.com/semantic-university/what-is-linked-data 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 12 CORPORATION. ALL RIGHTS RESERVED.
Enter Semantics! 
Manu Sporny Founder/CEO - Digital Bazaar, Inc. 
http://www.cambridgesemantics.com/semantic-university/what-is-linked-data 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 13 CORPORATION. ALL RIGHTS RESERVED.
Schema Flexibility with NoSQL 
 What if you didn’t need to 
define everything up front? 
 And what if many of the nasty 
data modeling issues with 
metadata were just as simple as 
adding new elements 
 And you can keep EVERYTHING! 
? 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 14 CORPORATION. ALL RIGHTS RESERVED.
Semantics to Model Relationships 
 Data model to manage relationships and link together data 
 ‘triples’ describe single facts 
 Collections of facts describe complex real-world scenarios 
"John Smith" "England" 
livesIn 
"London" 
isIn 
livesIn 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 15 CORPORATION. ALL RIGHTS RESERVED. 
!
Ontologies Instead of Categories 
 Actually model information as it 
is in the real world 
 Not limited to a single purpose 
 Ontologies for all categories 
of metadata 
 Even ‘impossible’ categories 
like fictional worlds 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 16 CORPORATION. ALL RIGHTS RESERVED.
NoSQL and Semantics: Using CONTEXT to Unlock Content 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 17 CORPORATION. ALL RIGHTS RESERVED.
Semantic Metadata in Action 
Let users experience new dimensions Capture complete worlds of content 
© COPYRIGHT 2014 MARKLOGIC SLIDE: 18 CORPORATION. ALL RIGHTS RESERVED.
Learn More About Semantics & NoSQL 
Read 
nosqlfordummies.com 
Ask 
Team is here today! 
Download 
Semantics Paper
THANK YOU! 
© COPYRIGHT 2013 MARKLOGIC SLIDE: 20 CORPORATION. ALL RIGHTS RESERVED.

Smart Content Summit - Unlocking Content With Semantics and Metadata

  • 1.
    Unlocking Content with Maximize the value of your content 1/36th scale Metadata + Semantics Matt Turner CTO Media and Publishing Matt.turner@marklogic.com © COPYRIGHT 2014 MARKLOGIC SLIDE: 1 CORPORATION. ALL RIGHTS RESERVED.
  • 2.
    Continuous, Unpredictable Change Online Ad Revenue 1994-2000 Digital Music Sales 1997-2009 EBook Sales 2002-2010 Digital Video Revenue 2008 - 2014 Mobile Usage 2008-2016 (projection) SLIDE: 2 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
  • 3.
    Mass Media toMass Customization SLIDE: 3 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
  • 4.
    Metadata Makes anImpact SLIDE: 4 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
  • 5.
    Across Every Typeof User and Operation Production File Name Format Create Date Rights Caption Operations Story Title Run Date Credit Position Distribution Category License Type Key Colors Scene Shape Accoujnting Costs Rights Usage Revenue Photographer © COPYRIGHT 2014 MARKLOGIC SLIDE: 5 CORPORATION. ALL RIGHTS RESERVED.
  • 6.
    TRADITIONAL METADATA APPROACHES © COPYRIGHT 2013 MARKLOGIC SLIDE: 6 CORPORATION. ALL RIGHTS RESERVED.
  • 7.
    Metadata in Rowsand Columns  Everything up front  Complexity of schema versus flexibility  How many actors? Producers?  Selective inclusion of data  Has to be designed for a single purpose  Difficult to adapt and include new data Title ProductionDate Category AssetType Length Film1 3/1/14 Feature HD Master 2:40 Show1 6/4/13 Series HD720 0:40 Film2 6/4/05 Feature Archive 1:55 ? © COPYRIGHT 2014 MARKLOGIC SLIDE: 7 CORPORATION. ALL RIGHTS RESERVED.
  • 8.
    With Fixed Taxonomies  Hierarchical levels of metadata  Fixed to a specific business purpose  Each asset can only be associated with one level  How many category fields? Category Feature Series Action Drama Comedy Documentary … Cable Broadcast Drama Comedy … Action Drama Family Documentary ? … © COPYRIGHT 2014 MARKLOGIC SLIDE: 8 CORPORATION. ALL RIGHTS RESERVED.
  • 9.
    Traditional Approach Multiple categories, overlapping genres and real-world data problems stymie this approach  100s of metadata fields  Metadata can’t be used across all parts of the business  The model is inflexible and incomplete Title ProductionDate Category AssetType Length Film1 3/1/14 Feature HD Master 2:40 Show1 6/4/13 Series HD720 0:40 Film2 6/4/05 Feature Archive 1:55 Category Feature Series Action Drama Comedy Documentary … Cable Broadcast Drama Comedy … Action Drama Family Documentary … ? © COPYRIGHT 2014 MARKLOGIC SLIDE: 9 CORPORATION. ALL RIGHTS RESERVED.
  • 10.
    SEMANTICS, NOSQL +CONTEXT © COPYRIGHT 2013 MARKLOGIC SLIDE: 10 CORPORATION. ALL RIGHTS RESERVED.
  • 11.
    Data Drives theNeed for a New Generation Database Hierarchical Era For your application data! • Application- and hardware-specific Relational Era “For all your structured data!” • Normalized, tabular model • Application-independent query • User control Any Structure Era “For all your data!” • Schema-agnostic • Massive scale • Query and search • Analytics • Heterogeneous data • Faster time-to-results © COPYRIGHT 2014 MARKLOGIC SLIDE: 11 CORPORATION. ALL RIGHTS RESERVED.
  • 12.
    Machines Don’t GetContext . . . Manu Sporny Founder/CEO - Digital Bazaar, Inc. http://www.cambridgesemantics.com/semantic-university/what-is-linked-data © COPYRIGHT 2014 MARKLOGIC SLIDE: 12 CORPORATION. ALL RIGHTS RESERVED.
  • 13.
    Enter Semantics! ManuSporny Founder/CEO - Digital Bazaar, Inc. http://www.cambridgesemantics.com/semantic-university/what-is-linked-data © COPYRIGHT 2014 MARKLOGIC SLIDE: 13 CORPORATION. ALL RIGHTS RESERVED.
  • 14.
    Schema Flexibility withNoSQL  What if you didn’t need to define everything up front?  And what if many of the nasty data modeling issues with metadata were just as simple as adding new elements  And you can keep EVERYTHING! ? © COPYRIGHT 2014 MARKLOGIC SLIDE: 14 CORPORATION. ALL RIGHTS RESERVED.
  • 15.
    Semantics to ModelRelationships  Data model to manage relationships and link together data  ‘triples’ describe single facts  Collections of facts describe complex real-world scenarios "John Smith" "England" livesIn "London" isIn livesIn © COPYRIGHT 2014 MARKLOGIC SLIDE: 15 CORPORATION. ALL RIGHTS RESERVED. !
  • 16.
    Ontologies Instead ofCategories  Actually model information as it is in the real world  Not limited to a single purpose  Ontologies for all categories of metadata  Even ‘impossible’ categories like fictional worlds © COPYRIGHT 2014 MARKLOGIC SLIDE: 16 CORPORATION. ALL RIGHTS RESERVED.
  • 17.
    NoSQL and Semantics:Using CONTEXT to Unlock Content © COPYRIGHT 2014 MARKLOGIC SLIDE: 17 CORPORATION. ALL RIGHTS RESERVED.
  • 18.
    Semantic Metadata inAction Let users experience new dimensions Capture complete worlds of content © COPYRIGHT 2014 MARKLOGIC SLIDE: 18 CORPORATION. ALL RIGHTS RESERVED.
  • 19.
    Learn More AboutSemantics & NoSQL Read nosqlfordummies.com Ask Team is here today! Download Semantics Paper
  • 20.
    THANK YOU! ©COPYRIGHT 2013 MARKLOGIC SLIDE: 20 CORPORATION. ALL RIGHTS RESERVED.

Editor's Notes

  • #3 Yes, MarkLogic is the database behind Healthcare.gov And despite all of the issues they had with their launch – the networking and hardware failures – they still firmly believe that MarkLogic was the only database that could support the system – and the CMS continues to build out new applications on MarkLogic – Let's talk about what the system entails first.
  • #4 Yes, MarkLogic is the database behind Healthcare.gov And despite all of the issues they had with their launch – the networking and hardware failures – they still firmly believe that MarkLogic was the only database that could support the system – and the CMS continues to build out new applications on MarkLogic – Let's talk about what the system entails first.
  • #5 Yes, MarkLogic is the database behind Healthcare.gov And despite all of the issues they had with their launch – the networking and hardware failures – they still firmly believe that MarkLogic was the only database that could support the system – and the CMS continues to build out new applications on MarkLogic – Let's talk about what the system entails first.
  • #7 I think about this in terms of the move to information provider Putting the value of information in front of the form of delivery And I’m not alone
  • #20 Ok – so if you have some folks in your org. Followup