Difference between revisions of "Lab: RDFS Plus"

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==Tutorial==
 
==Tutorial==
https://jena.apache.org/documentation/ontology/
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Tutorial for the Jena-programming part: https://jena.apache.org/documentation/ontology/
  
 
==Classes/interfaces (some in package org.apache.jena.ontology)==
 
==Classes/interfaces (some in package org.apache.jena.ontology)==

Revision as of 14:00, 20 March 2017

Lab 8: RDFS Plus

Topics

RDF Plus sketching. WebVOWL visualisation. Basic OWL ontology programming in Jena.

Tutorial

Tutorial for the Jena-programming part: https://jena.apache.org/documentation/ontology/

Classes/interfaces (some in package org.apache.jena.ontology)

  • ModelFactory (createOntologyModel),
  • Model (createList, write),
  • OWL (sameAs, equivalentClass, equivalentProperty, differentFrom, disjointWith, inverseOf)
  • OntModel (createClass, createIndividual, createObjectProperty, CreateDatatypeProperty, createAllDifferent, createSymmetricProperty, createTransitiveProperty, createInverseFunctionalProperty),
  • OntClass,
  • Individual
  • DatatypeProperty,
  • ObjectProperty

createRDFList

Note that OntModel extends Model.

Tasks

In labs 2 and 3 you modelled and programmed the following situations:

In RDF: "Cade Tracy lives in 1516 Henry Street, Berkeley, California 94709, USA. He has a B.Sc. in biology from the University of California, Berkeley from 2011. His interests include birds, ecology, the environment, photography and travelling. He has visited Canada and France. Ines Dominguez lives in Carrer de la Guardia Civil 20, 46020 Valencia, Spain. She has a M.Sc. in chemistry from the University of Valencia from 2015. Her areas of expertise include waste management, toxic waste, air pollution. Her interests include bike riding, music and travelling. She has visited Portugal, Italy, France, Germany, Denmark and Sweden. Cade knows Ines. They met in Paris in August 2014."

In RDFS: "University of California, Berkeley and University of Valencia are both Universities. All universities are higher education instituttions (HEIs). Having a B.Sc. from a HEI and having a M.Sc. from a HEI are special cases of gradutating from that HEI. That a person has a degree in a subject means that the person has expertise in that subject. Only persons can have expertise, and what they have expertise about is always a subject."

Extend the RDF and RDFS graphs you drew on paper before to account for (as much as you can of) the following situation: Cade and Ines are two different persons. All the countries mentioned above are different. The country USA above is the same as the DBpedia resource http://dbpedia.org/resource/United_States (dbr:United_States) and the GeoNames resource http://sws.geonames.org/6252001/ (gn:6252001). The person class (the RDF type the Cade and Ines resources) in your graph is the same as FOAF's, schema.org's and AKT's person classes (they are http://xmlns.com/foaf/0.1/Person, http://schema.org/Person, and http://www.aktors.org/ontology/portal#Person, respectively, but on paper you can use prefixes). Nothing can be any two of a person, a university, a city, and a person at the same time. The property you have used in your RDF/RDFS graph to represent that 94709 is the US zip code of Berkeley, California in US is a subproperty of VCard's postal code-property (http://www.w3.org/2006/vcard/ns#postal-code). No two US cities can have the same postal code. The property you have used for Ines living in Valencia is the same property as FOAF's based near-property (http://xmlns.com/foaf/0.1/based_near), and it is the inverse of DBpedia's hometown property (http://dbpedia.org/ontology/hometown, dbo:hometown). (This is not completely precise: but "hometown" is perhaps the inverse of a subproperty of "based near".)

Look through your graph and try to identify at least one of each: a reflexive and an irreflexive, a symmetric and an asymmetric, as well as a transitive property.

Create and output the OWL ontology in Jena (as an OntModel - it does not have to explicitly wrap a Model or InfModel) - if you can, try to build on your example from labs 2 and 3!

Write out the OntModel as you go. You do not have to do any reasoning. It is a bit more complicated in OWL, and we will talk about it later!