OpenHPI 2.7 - How Much Semantics is there in RDF(S)?

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  • I like the design of your slides (and the content)!

    By the way, I ever read a paper explaining if RDFS is mainly about type, domain, range, subproperty and subclass. And these slides give exactly the examples of it.
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OpenHPI 2.7 - How Much Semantics is there in RDF(S)?

  1. 1. Semantic Web TechnologiesLecture 2: Semantic Web - Basic Architecture I 07: How Much Semantics Is There in RDF(S)? Dr. Harald Sack Hasso Plattner Institute for IT Systems Engineering University of Potsdam Spring 2013 This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0)
  2. 2. 2Lecture 2: Semantic Web - Basic Architecture I Open HPI - Course: Semantic Web Technologies Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  3. 3. 07 How much semantics is there in RDF(S)Open HPI - Course: SemanticHarald Sack, Hasso-Plattner-Institut, Universität Potsdam Semantic Web Technologies , Dr. Web Technologies - Lecture 2: Semantic Web Basic Architecture I
  4. 4. How much knowledge (semantics) has RDF(S) rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdf:type rdf:type exv:SemanticWebTechnologies exv:takes Place exv:hasRoom exv:hasName HS3 Semantic Web Technologies exv:hasDate Tue 13.30-15.00Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  5. 5. How much knowledge (semantics) has RDF(S) rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdf:type rdf:type exv:SemanticWebTechnologies exv:takes Place exv:hasRoom exv:hasName HS3 Semantic Web Technologies exv:hasDate Tue 13.30-15.00Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  6. 6. How much knowledge (semantics) has RDF(S) rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdf:type rdf:type exv:SemanticWebTechnologies exv:takes Place exv:hasRoom exv:hasName HS3 Semantic Web Technologies exv:hasDate Tue 13.30-15.00 • The semantics of a term from an RDF(S) ontology is given in terms of its properties and its values (instances)Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  7. 7. an we ion sc Co nclus F(S )? Wh at ith RD ed uc ew dSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  8. 8. What conclusions can we deduce with RDF(S)? rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range exv:SemanticWebTechnologies exv:takes placeSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  9. 9. What conclusions can we deduce with RDF(S)? rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range rdf:type exv:SemanticWebTechnologies exv:takes place • Deduction of entity class membership from the domain of one of its propertiesSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  10. 10. What conclusions can we deduce with RDF(S)? rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range rdf:type exv:SemanticWebTechnologies exv:takes placeSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  11. 11. What conclusions can we deduce with RDF(S)? rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range rdf:type rdf:type exv:SemanticWebTechnologies exv:takes place • Deduction of entity class membership from the range of one of its propertiesSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  12. 12. What conclusions can we deduce with RDF(S)? rdfs:Class exv:Course rdfs:subClassOf rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range rdf:type rdf:type exv:SemanticWebTechnologies exv:takesPlaceSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  13. 13. What conclusions can we deduce with RDF(S)? rdfs:Class exv:Course rdfs:subClassOf rdf:type rdfs:Class rdfs:Class rdf:Property exv:Lecture exv:takesPlace exv:Event rdfs:domain rdfs:range rdf:type rdf:type exv:SemanticWebTechnologies exv:takesPlace • Deduction of entity superclass membership from a class hierarchy.Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  14. 14. What conclusions can we deduce with RDF(S)? rdfs:Class rdfs:Class rdfs:domain rdf:Property rdfs:range exv:Person exv:isParentOf exv:Person rdfs:subPropertyOf rdfs:Class rdfs:Class rdf:Property exv:Person exv:isMotherOf exv:Person rdfs:domain rdfs:range rdf:type rdf:type exv:Alice exv:Bob exv:isMotherOfSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  15. 15. What conclusions can we deduce with RDF(S)? rdfs:Class rdf:Property exv:Person exv:isParentOf exv:Person rdfs:subPropertyOf rdf:Property exv:Person exv:isMotherOf exv:Person rdfs:Class rdfs:Class rdf:type rdf:type exv:Alice exv:Bob exv:isMotherOf exv:Alice exv:Bob exv:isParentOf • Deduction of new facts from subproperty relationshipsSemantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  16. 16. cie nt for (S) s uffi tat ion Is R DF pre sen ge Re b? o wl ed ntic We Kn ma Se ? - SPARQL in the 08 How to query RDF(S)Open HPI - Course: SemanticHarald Sack, Hasso-Plattner-Institut, Universität Potsdam Semantic Web Technologies , Dr. Web Technologies - Lecture 2: Semantic Web Basic Architecture I

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