Understanding Linked Data via EAV Model based Structured Descriptions

Presentation Goals
Demystify Linked Data
Demonstrate the unobtrusive nature of Linked Data
Explore how Linked Data can Work for You!
© 2010 OpenLink Software, All rights reserved.

Situation Analysis
User-generated content is growing exponentially
Enterprise & individual connectivity is growing
The line between the Individual & the Enterprise is blurring
The discovery & exploitation of Data, Information, and Knowledge remain the ultimate critical success factors
But there are still only 24 hours in a day!

A Few Definitions
What is Data ?
How we express observation
What is Information?
How we use Context to perceive observation
What is Knowledge?
How we Comprehend what we perceive

Understanding Data
What is a Data Item (Datum)?
A Unit (or Object) of Observation
What is a Structured Data Item?
An observation expressed in a manner that makes discernible:
the Referent (Unit or Object of Observation)
the Characteristics (Attribute=Value Pairs)

Entity-Attribute-Value Model
A foundation model for Data
In our Heads
Very Old
Entities (Data Items) have
Identifiers
Attributes
Attribute Values

How We Describe Things
The natural process:
Something (Referent) catches our attention
We Identify/Name the Referent of interest
We Identify its Attributes
We Assign Values to its Attributes
Descriptor Resources bear Descriptions

The Description Process
Identify Referent
Something grabs our attention
We give the Object or Unit of Observation a Name
Identify its Attributes
We use existing Attribute Names or make new ones.
Assign Values To its Attributes
Assign values to which may be References (Names) to other Objects
Repeat the process for each Attribute
Draw Conclusions
Establish some “Relative Truths” or “Facts” about your observations

EAV based Description of a Blog Post Entity Ref. (ID) Attribute Ref. (ID) Value (Literal or Ref.) #PostID #maker #KingsleyIdehen #PostID #subject “ Linked Data” #PostID #type #BlogPost #KingsleyIdehen #type #Person #KingsleyIdehen #Interest #LinkedData

Perceivable Representation (“Sense”) Trinity (Referent, Identifier, and Descriptor) Referent Identifier (e.g. Generic HTTP scheme URI) Descriptor (“Sense”) (@ Address Identified by URL) Description Representation (E-A-V Graph Pictorial) Carries Description Of Access To (De-reference) Identifies (Names) © 2010 OpenLink Software, All rights reserved.

Lots of Connected Perceptions (Linked Data Spaces) Structured Data Your Data Space My Data Space Their Group Data Space Our Group Data Space Structured Data Structured Data Structured Data © 2010 OpenLink Software, All rights reserved.

Gestalt (Our Data Space) Your Data Space Their Data Space My Data Space Lots of Connected Perceptions (Linked Data Spaces)

Ultimately You Want “To Discover” or “Be Discovered” Seeks Finds Matches Offers Make Sale Linked Data Spaces increase our Serendipitous Discovery Quotient (SDQ)

Additional Material
Presentation Links
Exploiting & Deploying Linked Data
Solving Real Problems with Linked Data
Linked Data Spaces & Data Portability
Meet Charlie (Mr. Enterprise 3.0)
Video Demos Links
Precision Search & Find
Fixing Identity Crisis
Linked Data Views over RDBMS Data (Note part 2 )

Contd. Additional Material
Live Linked Data Demo Links
Various Linked Data Demos
Various Linked Data Meshup Demos
GeoSpatial oriented Linked Data Meshups
eCommerce Related Linked Data Demos

http://linkeddata.uriburner.com	22
http://www.slideshare.net	15
http://www.scoop.it	7
http://paper.li	5
http://www.lmodules.com	1
http://webcache.googleusercontent.com	1

Understanding Linked Data via EAV Model based Structured Descriptions

by Kingsley Idehen

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Understanding Linked Data via EAV Model based Structured Descriptions Presentation Transcript