The document discusses building semantic web applications using linked data. It describes typical applications, current approaches to supporting applications over linked data using representative architectures and crawling patterns. The document argues that semantics can help by providing SDKs underpinned by datasets and ontologies, supporting collaborative development, and using common front ends and application descriptions. Finally, it presents MicroWSMO and WSMO-Lite as ways to describe minimal service models and service lifecycles for semantic web applications.

1. John Domingue
President
© Copyright 2011 STI - INTERNATIONAL www.sti2.org

2. “Semantic Web Researchers should build a Semantic Web
application” Famous SW Researcher
MOTIVATION
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3. www.sti2.org 7/7/2011 - Riga

4. www.sti2.org 7/7/2011 - Riga

5. Guidelines
for data
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6. www.sti2.org 7/7/2011 - Riga

7. 150 applications
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8. Typical Application
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9. SUPPORTING APPLICATIONS
OVER LINKED DATA: THE
CURRENT APPROACH
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11. 5/12/2007 - Vienna

12. 5/12/2007 - Vienna

13. Representative Architecture
diagram
The
Crawling
Pattern
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14. Papers Here
• Making
Linked
Data
Work
I
– Services
Over
Linked
Data
(Carlos
Pedrinaci
and
Maria
Maleshkova)
– Linked
Data
Principles
for
Services
and
Streams
(Andreas
Harth)
• Making
Linked
Data
Work
II
– Towards
a
Dynamic
Web
(Rudiger
Klein)
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15. APPLICATIONS BECOME
FIRST CLASS CITIZENS
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16. Communities win the day
• Wikipedia
– 3,670,091 articles, and 24,319,249 pages in total
– 14,824,773 registered users
– 1,792 administrators
• Facebook
– Developers from more than 190 countries
– 20 million Facebook applications installations per day
• iPhone Apps
– 350,000+
– 10 billion downloads
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17. Typical Process model
Select Data
‘Clean Up’ Data
(Re)-Write/configure application
Submit Application
Review and validate
Publish
Usage
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18. HOW CAN SEMANTICS HELP?
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19. Application Development Issues (1/2)
• SDKs underpinned by datasets, ontologies and
domain services
• What are the affordances of the combined
datasets?
– Peroni, D’Aquin and Motta – key classes, question
generation
– Virtual (meta) machine
• Support for collaborative development
– Within the same community
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20. Application Development Issues (2/2)
• Underuse of the rest of SW stack
– RIF, OWL
• Common front ends
– Graphs, spreadsheets, maps, portals
– Existing work on this
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21. Descriptions of Submitted Apps
• Dataset used
• How the application is constructed
– Relationship to other Apps
• What does it do? [capability]
• Who submitted it
• Domain (used for discovery)
• Location (used for discovery)
• Source
• Deployed on
Relevant schemas
– Dublin Core (who submitted)
– MSM/WSMO Lite/MicroWSMO (application description)
– Good relations/USDL (what does it do)
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22. Review and validate
• Quality of Service
– WSMO, DAML, FIPA
• Usability metrics?
• Software quality?
• Automation?
Relevant schemas
– Revyu.com
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23. Application/service Blog
• Application centric resource
• Combines human and machine based statements
• Comments, reviews, deployment, invocation and
even monitoring data
• Human and machine readable formats
• Supports development (documentation, debugging)
• Discovery
– Via human network
• Complemented by a dataset blog
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24. Summary
• Documents
• Video
• Social
• (Linked) Data
• Applications
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25. THANKS
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26. MicroWSMO & WSMO-Lite
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27. Minimal Service Model
www.sti2.org 5/12/2007 - Vienna

28. Deployment
Analysis
&
Monitoring
Discovery
InvocaJon
Process
Editor
Process
Modeling
Process
Service
ExecuJon
AnnotaJon
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Service
Lifecycle