Slides from the PKM2009 workshop. Author: Matthias Hert, Gerald Reif, and Harald Gall University of Zurich, Switzerland

1. Personal Knowledge
Mapping with Semantic
Web Technologies
Matthias Hert, Gerald Reif, and Harald Gall
University of Zurich, Switzerland
University of Zurich
Department of Informatics software evolution & architecture lab

2. Motivation Example
location
calendar
contact

3. Motivation Example
?
Address Book
contact
calendar
Semantic Calendar
Clipboard location
? Google Earth
?

4. How can we achieve this?
Problem: incompatible data formats
Solution: Semantic Web & Ontologies

5. Semantic Web
“The Semantic Web provides a common
framework that allows data to be shared
and exchanged across application,
enterprise, and community boundaries”
Data model: RDF – a directed graph
subject object
predicate

6. Ontologies
“Ontologies define a shared
understanding and vocabulary
about an application domain”
concepts
R
A B
relations

7. Problem
Multiple ontologies for one domain
ing
pp
Ma ded
vCarde
ne
FOAF NCO SWRC

8. Our Approach
RDF Data Transformation RDFTransformer
Language (RDTL)
FOAF
RDFT
vCard

9. RDF Data Transformation
Language (RDTL)
RDF Data Transformation
Language (RDTL)
1. Simple Mapping
2. Nested Mapping
3. Complex Mapping

10. RDF Data Transformation
Language (RDTL)
1. Simple Mapping
- 1-to-1
- datatypes
- format
- URI/literal
2. Nested Mapping
3. Complex Mapping

11. RDF Data Transformation
Language (RDTL)
1. Simple Mapping
2. Nested Mapping
- Create
- Extract
- Convert
3. Complex Mapping

12. RDF Data Transformation
Language (RDTL)
1. Simple Mapping
2. Nested Mapping
3. Complex Mapping

13. RDFTransformer
RDF data <Target ontology>
!
Mappings
!
!
RDF Transformer Internet
M
! !
Ontologies
!
Transformed
RDF data

14. Conclusion
? RDF data <Target ontology>
Address Book
Google Earth
Mappings
RDF Transformer Internet
M
Calendar Ontologies
RDFTransformer
Web
Transformed
RDF data
Google Earth
?
Calendar
Address Book
http://seal.ifi.uzh.ch/RDFTransformer Questions?