Context-aware Scenarios

= Task for next lecture =

Test yourself, answer these questions

 * How do I start to build a Semantic Web?
 * What is the role of Ontologies in the Semantic Web?
 * What is RDF and what is it good for?
 * Why RDF model is different from the XML model?
 * What is OWL?

=Lecture Notes & Scenarios=

Lecture Notes 2014

 * Notes: [[Media:UNIK4710-L2-v14-LectureNotes.pdf]]
 * Identity 2.0 presentation by Dick Hardt at
 * Video: http://lux.unik.no/UNIK4710-JN/UNIK-20140124.wmv

Presentations
 * Andreas - Context-aware Contacts [[Media:UNIK4710-ContextAware_Contacts_Andreas.pdf]]
 * Eivind - Air quality recommender http://prezi.com/8gya0fphzdk_/present/?auth_key=n5dc1i3&follow=eivinde&kw=present-8gya0fphzdk_&rc=ref-49259531
 * for presentations from Rozina, Marcel and Kjetil see Context-aware_Scenarios_part_II

Lecture Notes 2013

 * Notes: [[Media:UNIK4710-L3-v13-LectureNotes.pdf]]

Lecture Notes 2012

 * Notes: [[Media:UNIK4710-L3-v12-LectureNotes.pdf]]

= Other info =


 * title: Basics of Semantics
 * author: Josef Noll
 * subfooter: UNIK4710/UNIK9710

= ⌘ Context awareness= examples of context representations = ⌘Scenarios =

⌘Scenarios 2012

 * Knowledge management by Arne, see Lecture notes Basics_of_Semantics, [[Media:UNIK4710-L2-v12-LectureNotes.pdf]]
 * eHealth at home by Serhat, see [[Media:UNIK4710-Serhat-Scenario.pptx]]
 * Public screen - group profiles by Fabrice, see Lecture notes Basics_of_Semantics
 * Tourist recommender by Susana, see Lecture notes Basics_of_Semantics, [[Media:UNIK4710_MobileServiceDSusana.pdf]]
 * Hypermusic by Sichao Song [[Media:UNIK4710_Hypermusic_Song.pptx]]

⌘Scenarios 2013

 * University of Oslo by José, [[Media:UNIK4710-UiO-Scenario.pdf]]
 * Help for "University Ontology": http://webdam.inria.fr/Jorge/html/wdmch8.html


 * Movie Ontology by Javier, [[Media:UNIK4710-Movie-Ontology.pdf]]
 * Help for "Movie Ontology": See Hypermusic ontology by Sichao Song (presentations - year 2012 )

=⌘ Semantics= previous lecture
 * .xml relation between subject & object
 * .rdf subject, predict, object
 * .rdfs vocabulary for properties
 * ontologies as data models of a domain
 * describe through rdf or owl
 * owl is more expressive


 * Extension of semantics through rules
 * Rules might replace ontologies

=Challenges with ontologies=
 * ontologies describe the data on a Web
 * very good suited as a knowledge base, e.g. medical history, interworking of medicine, oil drilling
 * when using a semantic model in the real world, the challenge is to get changes (updates) to the ontologies. Example: car industry, where cars are produced under the same header with slightly different outfit, where manufacturers change frequently,...

=Summary on Ontologies=
 * cover only limited area (specific area, "swamps of ontologies")
 * have a "creation date" (timestamp) in mind
 * upgradability?
 * consistency when upgrading one ontology
 * are good for knowledge management
 * interface between knowledge management and processes is not clear