Understanding Linked Data via EAV Model based Structured Descriptions
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Understanding Linked Data via EAV Model based Structured Descriptions

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Multi part series of presentations aimed at demystifying Linked Data via:...

Multi part series of presentations aimed at demystifying Linked Data via:
1. Introducing Entity-Attribute-Value Data Model
2. Exploring how we describe things
3. Referents, Identifiers, and Descriptors trinity .

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Understanding Linked Data via EAV Model based Structured Descriptions Understanding Linked Data via EAV Model based Structured Descriptions Presentation Transcript

  • Demystifying Linked Data Via Entity-Attribute-Value (EAV) Data Model By Kingsley Idehen Twitter ID: @kidehen Founder & CEO, OpenLink Software © 2010 OpenLink Software, All rights reserved.
  • 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!
    © 2010 OpenLink Software, All rights reserved.
  • 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
    © 2010 OpenLink Software, All rights reserved.
  • 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)
    © 2010 OpenLink Software, All rights reserved.
  • Entity-Attribute-Value Model
    • A foundation model for Data
      • In our Heads
      • Very Old
    • Entities (Data Items) have
      • Identifiers
      • Attributes
      • Attribute Values
    © 2010 OpenLink Software, All rights reserved.
  • 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
    © 2010 OpenLink Software, All rights reserved.
  • 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
  • © 2008 OpenLink Software, All rights reserved. Description of a Linked Data Space
  • Common Web Page Experience (View Source Pattern) Rendered Page (Markup Presentation) Markup © 2010 OpenLink Software, All rights reserved.
  • Other Aspects of a Web Page (Dark Side – “Page Descriptor”) Page Descriptor Rendered Page Page Markup © 2010 OpenLink Software, All rights reserved.
  • 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.
  • Representation Trinity (Referent, Identifier, and Descriptor/Sense) © 2010 OpenLink Software, All rights reserved.
  • Our Perceptions (Context Lens Prisms) What’s Inside This? V E A E V A E A V A © 2010 OpenLink Software, All rights reserved. Structured Data (Lots of E-A-V Records)
  • 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)
  • © 2008 OpenLink Software, All rights reserved. Gestalt (Collective Intelligence)
  • Ultimately You Want “To Discover” or “Be Discovered” Seeks Finds Matches Offers Make Sale Linked Data Spaces increase our Serendipitous Discovery Quotient (SDQ)
  • You Only Need a LINK to Add Your Piece To The Puzzle! Structured Data Structured Data Structured Data Structured Data © 2010 OpenLink Software, All rights reserved.
  • Use LINKs to Mesh Your Perceptions with Others Structured Data Structured Data Structured Data Structured Data © 2010 OpenLink Software, All rights reserved.
  • 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 )
    © 2010 OpenLink Software, All rights reserved.
  • 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
    © 2010 OpenLink Software, All rights reserved.