2. The Problem (1)
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Information overload
Thousands of files in my home folder
Thousands of emails in my inbox
Hard to manage
3. The Problem (2)
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Data encapsulation
Proprietary formats
Proprietary storage
Data duplication
Same data in several applications
Islands of information
Data not linked
Lacks context, provenance
Relevant information overlooked
4. Objectives
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Data interoperability
Structured and linked data based on Semantic
Web technologies
Make the desktop manageable
5. Semantic Web technologies
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Enabling standards
and technologies
(the SW Layer Cake)
6. Key Ingredients
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RDF – Resource Description Framework
W3C Standard
Ontologies
Means to define vocabularies of terms
7. Statements
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Basic unit of information
<subject> <predicate> <object>
Examples
<John> <age> “40”
<John> <likes> <Mary>
8. Nepomuk Ontologies
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Representational Layer
RDF
RDFS
NRL
Upper-Level Layer
NAO
NIE PIMO
Foundational
Lower-Level Layer
Group-level
Personal-Level
All Concepts a User of the Semantic Desktop deals with
All Concepts an Application Programmer of the Semantic Desktop deals with
9. Approach (1)
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Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
10. Approach (1)
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Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
11. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
12. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
13. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
14. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
15. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
16. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
17. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
18. Approach (1)
Digital Enterprise Research Institute www.deri.ie
Everything is a resource
Files, Emails, People, Tags
Projects, Hobbies
Linked via relations
Extracted automatically (eg. provenance)
Created manually
19. Approach (2)
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Central storage
Accessible to all the applications
Standard format
Enables portability
Data is application independent
Data is shareable
20. Approach (2)
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Central storage
Accessible to all the applications
Standard format
Enables portability
Data is application independent
Data is shareable
21. Approach (2)
Digital Enterprise Research Institute www.deri.ie
Central storage
Accessible to all the applications
Standard format
Enables portability
Data is application independent
Data is shareable
22. Approach (2)
Digital Enterprise Research Institute www.deri.ie
Central storage
Accessible to all the applications
Standard format
Enables portability
Data is application independent
Data is shareable
23. Standardized View of
Resources
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Person
Email Event
Topic
Person
Website Document
Image
24. Standardized View of
Resources
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Outcomes
Data can be shared, connected
Person
Email Event friend
Topic
Person
Website Document
Image
25. Standardized View of
Resources
Digital Enterprise Research Institute www.deri.ie
Outcomes
Data can be shared, connected
Person
Email Event friend
Topic
Person
Website Document
colleague
Image
12 / 200
26. Standardized View of
Resources
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Outcomes
Data can be shared, connected
Person
Email Event friend
Topic
acquaintance
Person
Website Document
colleague
Image
12 / 200
27. User Benefits
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Important time savings
Easy data filtering
Faceted browsing
Information discovery
17 / 200
28. Conclusion
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Solves the information overload problem
Solves the data silos problem
SW technologies and standards on the desktop
Increased data interoperability
18 / 200