NSWI144 - Data Integration and Quality

Basic information

Semestral assignment

  1. Identify source data
  2. Download/Extract/Scrape
  3. Triplify (convert to RDF according to LD principles - *****)
  4. Identify vocabularies to be reused, use them, maybe create your own
  5. Link (internally, externally)
  6. Store
  7. Query & Use – in a demo application
  8. Publish (RDF dump + RDFa/Microformats/Microdata)
  9. Think about & Measure quality
  10. Present – on the last lecture

Slides

  1. Introduction to Linked Data
  2. RDF, RDFS, Serializations
  3. SPARQL, Tarql
  4. Dublin Core, SKOS, RDF Datacube Vocabulary
  5. Linked Data Patterns
  6. Linking, Silk
  7. Metadata (DCAT, DCAT-AP, VoID)
  8. RDFa, Microformats, Microdata
  9. RDF APIs - Eclipse RDF4J, Apache Jena