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| − | =Lab 7: RDFS Plus=
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| − | ==Topics==
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| − | RDF Plus sketching.
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| − | WebVOWL visualisation.
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| − | Basic OWL ontology programming in Jena.
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| − | ==Tutorial==
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| − | Tutorial for the Jena-programming part: https://jena.apache.org/documentation/ontology/
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| − | ==Classes/interfaces (some in package org.apache.jena.ontology)==
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| − | * ModelFactory (createOntologyModel),
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| − | * OWL (sameAs, equivalentClass, equivalentProperty, differentFrom, disjointWith, inverseOf)
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| − | * OntModel (createClass, createIndividual, createObjectProperty, CreateDatatypeProperty, createAllDifferent, createSymmetricProperty, createTransitiveProperty, createInverseFunctionalProperty),
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| − | * Model (createList, write),
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| − | * OntClass, Individual, DatatypeProperty, ObjectProperty
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| − | Note that the OntModel interface extends InfModel and Model.
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| − | ==Tasks==
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| − | In earlier labs you modelled and programmed the following situations:
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| − | In RDF: "Cade Tracy lives in 1516 Henry Street, Berkeley, California 94709, USA. He has a B.Sc. in biology
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| − | from the University of California, Berkeley from 2011. His interests include birds, ecology, the environment,
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| − | photography and travelling. He has visited Canada and France. Ines Dominguez lives in Carrer de la Guardia
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| − | Civil 20, 46020 Valencia, Spain. She has a M.Sc. in chemistry from the University of Valencia from 2015.
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| − | Her areas of expertise include waste management, toxic waste, air pollution. Her interests include bike
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| − | riding, music and travelling. She has visited Portugal, Italy, France, Germany, Denmark and Sweden. Cade
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| − | knows Ines. They met in Paris in August 2014."
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| − | In RDFS: "University of California, Berkeley and University of Valencia are both Universities.
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| − | All universities are higher education instituttions (HEIs). Having a B.Sc. from a HEI and having a M.Sc.
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| − | from a HEI are special cases of gradutating from that HEI. That a person has a degree in a subject means
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| − | that the person has expertise in that subject. Only persons can have expertise, and what they have expertise
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| − | about is always a subject."
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| − | Extend the RDF and RDFS graphs you drew on paper before to account for (as much as you can of) the following situation:
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| − | Cade and Ines are two different persons. All the countries mentioned above are different. The country USA above is
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| − | the same as the DBpedia resource http://dbpedia.org/resource/United_States (dbr:United_States) and the GeoNames
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| − | resource http://sws.geonames.org/6252001/ (gn:6252001). The person class (the RDF type the Cade and Ines resources)
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| − | 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,
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| − | http://schema.org/Person, and http://www.aktors.org/ontology/portal#Person, respectively, but on paper you can use
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| − | prefixes). Nothing can be any two of a person, a university, a city, and a person at the same time. The property
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| − | you have used in your RDF/RDFS graph to represent that 94709 is the US zip code of Berkeley, California in US is
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| − | a subproperty of VCard's postal code-property (http://www.w3.org/2006/vcard/ns#postal-code). No two US cities can
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| − | have the same postal code. The property you have used for Ines living in Valencia is the same property as FOAF's
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| − | based near-property (http://xmlns.com/foaf/0.1/based_near), and it is the inverse of DBpedia's hometown property
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| − | (http://dbpedia.org/ontology/hometown, dbo:hometown). (This is not completely precise: but "hometown" is perhaps the
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| − | inverse of a subproperty of "based near".)
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| − | Look through your graph and try to identify at least one of each: a reflexive and an irreflexive, a symmetric and
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| − | an asymmetric, as well as a transitive property.
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| − | Create and output the OWL ontology in Jena (as an OntModel - it does not have to explicitly wrap a Model or InfModel - Jena does this for you under the hood). If you can, try to build on your example from labs 2 and 3!
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| − | Write the ontology to a TURTLE file, and try to visualise it using http://visualdataweb.de/webvowl/ . WebVOWL is oriented towards visualising classes and their properties, so the individuals may not show.
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| − | Use OntModel.writeAll() to write out the whole ontology, including OWL's built-in axioms (note that sending it to WebVOWL may not work.) Add a reasoner to your OntModel, for example ModelFactory.createOntology(OntModelSpec.OWL_MEM_RULE_INF), and writeAll() again. Can you spot any inferences?
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