The document discusses using linked data to solve problems of identity and data access/integration. It describes linked data as data that is accessible over HTTP and implicitly associated with metadata. It then outlines problems around identity, such as repeating credentials across different apps/enterprises. The solution proposed is assigning individuals HTTP-based IDs and binding IDs to certificates and profiles. Problems of data silos across different databases and apps are also described, with the solution being to generate conceptual views over heterogeneous sources using middleware and RDF.

1. Using RDF Linked Data
To Solve
Real Problems
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2. Situation Analysis
Agility is the timeless pursuit of
enterprises and individuals alike.
In all cases, access, integration,
and dissemination of data is
pivotal.
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3. What is Linked Data?
 A term coined by Tim Berners-Lee that
describes HTTP-based Data Access by
Reference for the Web
 An unobtrusive tweak to the Web that
accentuates its core architecture
 Use of HTTP based Identifiers for Naming
“Things”
 Implicit association of Identifiers with their
metadata.
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4. © 2008 OpenLink Software, All rights reserved.

5. Problems
 Identity
 - People
 - Places
 - Ideas
 - Other Things
 Data Access & Integration
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6. Problem - Identity
 Who Am I?
 What are my credentials?
 Why do I repeat the above each time,
across:
 Each Web App.
 Each Enterprise App.
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7. Solution – Identity Problem
Get Yourself a Data Space that delivers:
 A personal HTTP based ID (a URI)
 Bind Your ID to an X.509 Certificate
 Bind Certificate to your HTTP User Agents
(e.g., Browser)
 Bind Certificate to your Profile (e.g., a
FOAF space).
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8. Solution – Identity Problem Contd.
With your HTTP ID in place you can then achieve
the following:
 Visit places on HTTP networks with no login and
credentials repetitions (Intranet or Web)
 Use ACL based policies to confine data access to
specific groups of people.
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9. Simple FOAF+SSL Demo
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11. Collective Intelligence
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12. Linked Data – Data Aggregation
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13. Problem: Data Access & Integration
 Enterprise Silos generated by applications
bound to:
 Disparate DBMS Engines & Data Models
 Disparate Development Frameworks
 Data Silos on the Web such as:
 Social Networking Services
 Discussion Forums
 Blogs
 Wikis etc.
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14. Solution – Data Access & Integration
 Use Middleware to generate Conceptual
Views over Heterogeneous Data Sources
 RDBMS to RDF mapping technology e.g.,
RDF Views over RDBMS data sources
 RDFizers to convert unstructured and
semi-structured data to RDF.
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15. Conceptual Views of Disparate Data
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16. RDBMS to Linked Data – Demo 1
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17. RDBMS to Linked Data – Demo 2
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18. Self Filtering Find (Search++)
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19. © 2008 OpenLink Software, All rights reserved.

20. Additional Information
 OpenLink Software:
 http://www.openlinksw.com/
 http://virtuoso.openlinksw.com/
 http://www.openlinksw.com/blog/~kidehen (weblog)
 Linking Open Data Community Projects
 http://linkeddata.org/
 http://dbpedia.org/
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