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© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

Automating the Game with Semantics Part 1: New Generation Content Creation, Search, and Delivery

Diane Burley MarkLogic

Matt Turner MarkLogic

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 2

Hierarchical Era For 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

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 3

Harnessing Data & Reimagining Applications

Reduce Risk

Manage Compliance

Create New Value from Data

Optimize Operations

Lower TCO / Better IT Economics

Better Decision-making

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 4

The Only Enterprise NoSQL Database Search & Query

ACID Transactions

High Availability / Disaster Recovery

Replication

Government-grade Security

Scalability & Elasticity

On-premise or Cloud Deployment

Hadoop for Storage & Compute

Semantics

Repackaging to make MarkLogic available at 1/3 of the cost

SEARCH DATABASE

APPLICATION SERVICES

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 5

SEMANTICS & THE INFORMATION GAME

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 6

Goal: Get the Right Content to the Right User on the Right Device, at the Right time

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 7

Goal: Get the Right Content to the Right User on the Right Device, at the Right time

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 8

Goal: Get the Right Content to the Right User on the Right Device, at the Right time

… in the right CONTEXT

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 9

But 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 CORPORATION. ALL RIGHTS RESERVED. SLIDE: 10

And Humans have to do the work!

Create categories Put related stories together Create landing pages for topics Edit and proof tons of content Oh – its not just content – you

have to curate and manage DATA too!

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 11

Enter Semantics!

Its about enabling and scaling KNOWLEDGE Machine readable context Old idea at the right time

And it takes more than JUST semantic data It’s the combination of data, text and

relationships

Manu Sporny Founder/CEO - Digital Bazaar, Inc. http://www.cambridgesemantics.com/semantic-university/what-is-linked-data

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 12

Context from Documents

Document metadata

Categories, author, publish date, source

And Facts in free-flowing text

Entities and events

Found automatically with enrichment software or provided at authoring time

Automates understanding of content and data

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 13

Context from Domain Domain specific

Industry, company, even individual organization of data

Ontologies + taxonomies that organize data

Some Examples

A bank's proprietary reference data

A pharmaceutical company's drug ontology

An industry-wide ontology such as FIBO

Proprietary Semantic Facts (Facts and Taxonomies in your

organization or industry)

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 14

Context from the World at Large

“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”

Linked Open Data

Facts that are freely available In a form that’s easily consumed

Examples:

DBPedia

GeoNames

Machine readable knowledge!

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 15

Semantics: A New Way to Organize and Connect Data

Data is stored in Triples, expressed as: Subject : Predicate : Object John Smith : livesIn : London London : isIn : England

Rules tell us something about the triples: If (A livesIn X) AND (X isIn Y) then (A livesIn Y)

"John Smith" "England" livesIn "London" isIn

livesIn

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 16

BUT YOU NEED MORE THAN JUST SEMANTICS!

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 17

Combine for context & deliver scalable knowledge

MarkLogic: Document Store + Data Store + Triple Store

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 18

MarkLogic Semantics Database – Enterprise Triple Store

Query - Native SPARQL and Combination Queries

Scalability – Indexing

Application Development – REST + SPARQL

Enterprise Ready - integrated with MarkLogic's Enterprise NoSQL Database

SLIDE: 19

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

Bringing Triples to the Front

Company Data

Industry Data

Filings

Reports

Knowledge Management

Knowledge Delivery

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 20

REALLY KNOW YOUR DATA

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 21

What does my content really look like?

LDS Gospel Topics Explorer: http://cdev.lds.org/semantic/

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 22

Really Know Your Data • Reference Data and Legal Compliance

• Data provenance, Legal Entities and Instruments

• Fraud detection and decision support

• Metadata Management

• Complete picture of data and relationships

• Metadata management and delivery

Courtesy of FactGem -> factgem.com

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 23

BRING CONTEXT TO INFORMATION DELIVERY

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 24

Precise Information Retrieval User searches and queries refined by topics and semantic relationships

Refine search with topics and concepts

Geo-location of research institutions, Semantic Visualization & Tag Clouds

MarkLogic Demo Application – Ask us to demo it for you!

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 25

Suggested / Related Content Topic, semantic relationships and content used to find related and suggested content

Related articles

Suggestions

Augmented topic browsing

LDS Gospel Topics Explorer: http://cdev.lds.org/semantic/

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 26

Targeted Content Delivery Semantic data augmenting user search and queries

Return concepts and facts in addition to results

Leverage context from all sources

MarkLogic Demo Application – Ask us to demo it for you!

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 27

SET YOUR CONTENT FREE

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 28

Present content, data and information to users

Relationships power content presentation

Taxonomy browsing

Beyond WebCMS to Dynamic Publishing

http://www.bbc.com/sport/

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 29

plays for

Lampard

Chelsea

Southampton v Chelsea

Premier League

Include a story about Lampard

Include in the list of recent matches

Include in the League Table

Facts into Actions:

http://www.bbc.com/sport/

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 30

AUTOMATING THE GAME WITH SEMANTICS

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 31

How Can Semantics Help Me? Deliver your data and content in context

Leverage your knowledge about the data Match it to your user’s context Tailor it to the domain of your user

Manage and Deliver Knowledge

Manage complex taxonomy and categories Look across data to get the complete picture

Follow up email with links

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 32

Getting Started

Part 2: Getting Started and Building a Semantic Application – invite in follow up email

MarkLogic Semantics

www.marklogic.com/what-is-marklogic/marklogic-semantics/

More about MarkLogic and triples from Temis

http://www.temis.com/triples

world.marklogic.com

04/07/2014 SAN FRANCISCO

05/15/2014 AMSTERDAM

05/20/2014 LONDON

06/03/2014 NEW YORK

06 /05/2014 CHICAGO

06/19/2014 BALTIMORE

06/24/2014 WASHINGTON, D.C .

Pairing with Triples

March 25

NYC

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 34

ANY QUESTIONS?

© COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

Thank you! For more information

Matt Turner <Matt.Turner@marklogic.com>

Diane Burley <Diane.Burley@marklogic.com>

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