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Personal Knowledge
Mapping with Semantic
Web Technologies

Matthias Hert, Gerald Reif, and Harald Gall


University of Zur...
Motivation Example


                        location


             calendar




   contact
Motivation Example
       ?
                                            Address Book
                       contact




  ...
How can we achieve this?


  Problem: incompatible data formats


 Solution: Semantic Web & Ontologies
Semantic Web

 “The Semantic Web provides a common
framework that allows data to be shared
   and exchanged across applica...
Ontologies

 “Ontologies define a shared
understanding and vocabulary
about an application domain”

          concepts


  ...
Problem


Multiple ontologies for one domain

                       ing
                   pp
               Ma ded
     ...
Our Approach

RDF Data Transformation   RDFTransformer
   Language (RDTL)
                              FOAF




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


1. Simple Mapping
2. Nested Mapping
3. Complex Mapping
RDFTransformer
RDF data            <Target ontology>




              !
                                        Mappings
...
Conclusion

                  ?                                    RDF data            <Target ontology>




             ...
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Personal Knowledge Mapping with Semantic Web Technologies

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Slides from the PKM2009 workshop.

Author: Matthias Hert, Gerald Reif, and Harald Gall

University of Zurich, Switzerland

Publié dans : Formation
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Personal Knowledge Mapping with Semantic Web Technologies

  1. 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. 2. Motivation Example location calendar contact
  3. 3. Motivation Example ? Address Book contact calendar Semantic Calendar Clipboard location ? Google Earth ?
  4. 4. How can we achieve this? Problem: incompatible data formats Solution: Semantic Web & Ontologies
  5. 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. 6. Ontologies “Ontologies define a shared understanding and vocabulary about an application domain” concepts R A B relations
  7. 7. Problem Multiple ontologies for one domain ing pp Ma ded vCarde ne FOAF NCO SWRC
  8. 8. Our Approach RDF Data Transformation RDFTransformer Language (RDTL) FOAF RDFT vCard
  9. 9. RDF Data Transformation Language (RDTL) RDF Data Transformation Language (RDTL) 1. Simple Mapping 2. Nested Mapping 3. Complex Mapping
  10. 10. RDF Data Transformation Language (RDTL) 1. Simple Mapping - 1-to-1 - datatypes - format - URI/literal 2. Nested Mapping 3. Complex Mapping
  11. 11. RDF Data Transformation Language (RDTL) 1. Simple Mapping 2. Nested Mapping - Create - Extract - Convert 3. Complex Mapping
  12. 12. RDF Data Transformation Language (RDTL) 1. Simple Mapping 2. Nested Mapping 3. Complex Mapping
  13. 13. RDFTransformer RDF data <Target ontology> ! Mappings ! ! RDF Transformer Internet M ! ! Ontologies ! Transformed RDF data
  14. 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?

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