An overview of the motivations and general features of the Semantic Desktop, specifically Nepomuk.

1. Digital Enterprise Research Institute www.deri.ie
The Semantic Desktop
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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)
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 Everything is a resource
 Files, Emails, People, Tags
 Projects, Hobbies
 Linked via relations
 Extracted automatically (eg. provenance)
 Created manually

12. 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

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)
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 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)
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 Everything is a resource
 Files, Emails, People, Tags
 Projects, Hobbies
 Linked via relations
 Extracted automatically (eg. provenance)
 Created manually

18. 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

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)
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 Central storage
 Accessible to all the applications
 Standard format
 Enables portability
 Data is application independent
 Data is shareable

22. Approach (2)
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 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
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 Outcomes
 Data can be shared, connected
Person
Email Event friend
Topic
Person
Website Document
colleague
Image
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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
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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
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