Today, organizations want both IT simplicity and innovation, but reliance on traditional databases only leads to more complexity, longer development cycles, and more silos. In fact, organizations report that the #1 impediment to big data success is having too many silos. In this webinar, we will discuss how a new database technology, semantics, solves this problem by providing a new approach to modeling data that focuses on relationships and context, making it easier for data to be understood, searched, and shared. With semantics, world-leading organizations are integrating disparate data faster and easier and building smarter applications with richer analytic capabilities—benefits that we look forward to diving into during the webinar.

1. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
How Semantics Solves Big Data Challenges
Matt Allen
MarkLogic

2. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 2
Without context, organizing
information is really hardWhy do we need
semantics?

3. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 3
Disconnected Data, Unable to Handle Complexity
#1 impediment to big data success is
having too many silos

4. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 4
Example: Categorizing media assets
Disconnected Data, Unable to Handle Complexity
Image ABC
File Name
Format
Create Date
Rights
Caption
Dog Image
Story
Title
Run Date
Credit
Position
Image 123
Costs
Rights
Usage
Revenue
Photographer
Photographer Accountant Editor

5. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 5
Disconnected Data, Unable to Handle Complexity
Example: Searching people, places, and things with context
vs vsvs
sub hoagie
vs

6. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 6
Disconnected Data, Unable to Handle Complexity
Example: Product research and development pipeline
Pre-Launch
Advanced Product
Development
Early Product
Development
Proof of
Concept
Initial Identification
Phase 1Discovery Phase 2 Phase 3 Phase 4
Can I know more
about this
particular area of
research?
Can I find out
more about
whether this new
product is viable?
What locations with
product X, showed
Y characteristic,
during May-June in
year 2007, 2008?
What global testing
was done around
product X were
undertaken across
the world in 2012?
Does this product
already exists in
the pipeline?
The problem… different words describe the same things, product names change over time, domain knowledge
is not captured and made searchable, and there are too many data silos to search in a limited time

7. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 7
Disconnected Data, Unable to Handle Complexity
Example: Managing overlapping domains of knowledge in healthcare
Is “Psychoses” a “mental
disorder” or “psychotic illness”?

8. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 8
We’ve created elaborate
systems to categorize
information

9. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 9
But it ends up looking
more like this

10. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 10
Problems With the Relational Approach
Inflexible Data Model
 Everything modeled up front
 Schema complexity
 Difficult to make changes later
 Fixed to a specific business purpose
 Lots of expensive ETL
 Inability to store unstructured data
 Mismatch for modern app development
Inability to Model Relationships
 No standard for modeling people, places, things
 Lack of context within taxonomies/ontologies
Inability to Query Heterogeneous Data
 Inability to handle complex queries across varied data
Limited Scalability
 Scale up, not out

11. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 11
360 View
Healthcare
How do we achieve this?

12. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 12
Enter Semantics…
John livesIn IsIn EnglandLondon
Triples
Subject :Predicate :Object
Semantics is a simple and elegant way to model data as facts and relationships. Semantics
uses a data format called RDF that you query with SPARQL.

13. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 13
Triples Come in Different Formats
John livesIn London
<sem:triple>
<sem:subject> http://xmlns.com/foaf/0.1/name/"John"</sem:subject>
<sem:predicate> http://example.org/livesIn</sem:predicate>
<sem:object datatype="http://www.w3.org/2001/XMLSchema#string">"London"</sem:object>
</sem:triple>
{
"triple" : {
"subject": "http://xmlns.com/foaf/0.1/name" "John",
"predicate": "http://example.org/livesIn",
"object": { "value": "London", "datatype": "xs:string" }
}
<http://dbpedia.org/resource/John>
<http://dbpedia.org/ontology/LivesIn>
<http://dbpedia.org/resource/London> .
Turtle
JSON
XML
3 IRI’s
2 IRI’s,
1 string

14. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 14
Relationships and Context Are Obvious with Triples
Tweeted TweetXYZ Sentiment Positive
(=High Value)
This customer is saying good things about us. They’ve just walked into
our store. Should we reward them?
Customer123

15. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 15
Documents + Triples Provide a Better Model
Title
HD Master
Dates
Production
Date
Editing
Date
Release
Date
International
Date
Asset
is
<work>
<collection>
<category>
is part of
<character>
<place>
<performer>
appears in
is a
played
lives in
Title
Character
Film Series
Animated
Actress
City
Semantic TriplesDocument

16. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 16
Document
Hospital Name: Johns Hopkins
Operation Type: Cataract removal
Operation ID: 13
Surgeon Name: Robert Allen
Drug
Name
Drug
Manufacturer
Dose
Size
Dose
UOM
Minicillan Drugs R Us 200 mg
Maxicillan Canada4Less 400 mg
Minicillan Drugs USA 150 mg
Graph Relational
+ >
Operation
Person
Hospital
excels at
operated on
works at
Surgeon performed
operated on
patient at
Operation
Operation ID
Hospital
Surgeon
Procedure
Hospital
Hospital ID
Hospital Name
Surgeon
Surgeon ID
Surgeon Name
Procedure
Procedure ID
CPT Code
More Capable Than Relational
300%
growth in popularity
of graph databases
Document
databases
are the most popular
type of NoSQL database
of enterprise data
of database spend
20%
95%

17. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 17
Data Documents Triples
RDF
Enterprise Features
HA/DR, SECURITY, ACID TRANSACTIONS, SCALABILITY & ELASTICITY
JSON, XML
Flexible Data Model
Search & Query
BUILT-IN SEARCH & QUERY, POWERFUL INDEXING CAPABILITY

18. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 18
NoSQL
KEY-
VALUE
COLUMN
DOCUMENT
GRAPH
A.I.
COGNITIVE
COMPUTING
PROPERTY
GRAPHS
TRIPLE
STORES
PREDICTIVE
ANALYTICS
NATURAL
LANGUAGE
PROCESSING
Seeking Clarity in the World of Data
DATA
MINING
MACHINE
LEARNING
ENTITY
EXTRACTION
KNOWLEDGE
GRAPHS

19. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 19
From the Classroom to the Boardroom

20. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 20
Benefits of MarkLogic Semantics
 Model facts about people, places, and things
 Model complex relationships
 Share your data using a common standard
 Discover “hidden” facts in your data
 Visualize your data as a graph
 Use triples as metadata
 Work with open linked data
 Reconcile and integrate disparate data
 Provide context for a specific domain of knowledge
 Automate publishing of facts
 Work with other semantic technologies
– Extract meaning from unstructured data
– Classify large amounts of data
Remember: Facts, Relationships, Metadata

21. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 21
Leading Organizations Using Semantics
 Intelligent Search
 Complex Data Integration
 Dynamic Semantic Publishing
 Object-based Intelligence
 Compliance
Entertainment
Company
Agriculture
Company

23. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 23
The World of Dooneese Maharelle
Talent
Kristen Wiig
Acted in
Episode 4
Anne Hathaway and Killers
Part of
Played
Character
Maharelle Sister
Season 34
Segment
The Lawrence Welk Show
Aired on
Date
10/4/08
Era
Acted in
Includes
Part of Has
Characteristic
Tiny hands

24. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 24
What if you
only know a
characteristic?

25. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 25
The World of Barack Obama
 Real vs. Impersonation
– Barack Obama cameo vs. Barack Obama
impersonation
 Different Impersonations
– Fred Armisen as Barack Obama
– Jay Pharoah as Barack Obama
 Characters
– The Rock Obama

26. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.SLIDE: 26
When Data Takes Center Stage…

27. More Information…
http://info.marklogic.com/semantics-summer

28. © COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Thank you!
Matt Allen <matt.allen@marklogic.com>