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© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 1
Unlocking Content with
Metadata + Semantics
Maximize the value of your content
1/3
6th
scale
Matt TurnerCTO Media and [email protected]
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SLIDE: 2 © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Continuous, Unpredictable Change Online Ad Revenue
1994-2000
Digital Music Sales
1997-2009EBook Sales
2002-2010
Digital Video Revenue
2008 - 2014
Mobile Usage
2008-2016 (projection)
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Mass Media to Mass Customization
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Metadata Makes an Impact
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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
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TRADITIONAL METADATA APPROACHES
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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
?
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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?
CategoryFeature
Series
Action
Drama
Comedy
Documentary
…
Cable
Broadcast
Drama
Comedy
…
Action
Drama
Family
Documentary
…?
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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
CategoryFeature
Series
Action
Drama
Comedy
Documentary
…
Cable
Broadcast
Drama
Comedy
…
Action
Drama
Family
Documentary
…
?
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SEMANTICS, NOSQL + CONTEXT
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Hierarchical EraFor your application data!• Application- and
hardware-specific
Data Drives the Need for a New Generation Database
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
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Machines Don’t Get Context . . .
Manu Sporny Founder/CEO - Digital Bazaar, Inc.
http://www.cambridgesemantics.com/semantic-university/what-is-linked-data
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Enter Semantics!
Manu Sporny Founder/CEO - Digital Bazaar, Inc.
http://www.cambridgesemantics.com/semantic-university/what-is-linked-data
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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!?
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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
!
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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
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NoSQL and Semantics: Using CONTEXT to Unlock Content
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Semantic Metadata in Action
Let users experience new dimensions Capture complete worlds of content
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Learn More About Semantics & NoSQL
Read
nosqlfordummies.com
Ask
Team is here today!
Download
Semantics Paper
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THANK YOU!