Context-aware Scenarios part II

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Context-aware Scenarios part II

Course UNIK4710, UNIK9710
Title Context-aware Scenarios
Lecture date 2015/02/13
presented by Josef Noll
Objective Continuation of scenario presentation
Learning outcomes Having joined this lecture and prepared your scenario description, you
  • have a basic understanding of "tripple store" (.rdf) and ontologies (.owl)
  • will be able to describe a scenario based on
    • who, when, what, how
  • define some hierarchical overview on "classes" being involved in your scenario
  • prepare for the .owl implemenation of your classes
Pensum (read before) "What is a scenario"
  • Create a powerpoint (3-6 slides) of your envisaged scenario
  • Create the relations for the major items, e.g. Context, Preferences, ...
  • See the YouTube videos listed under References
References (further info) See examples of Scenarios from earlier courses
Keywords Scenario, Context, Location, Profile, RDF, Ontology, Semantic Technologies

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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


Orienteering Scenario Kjetil.png

Lecture Notes 2014

Lecture Notes 2013

Lecture Notes 2012

Other info

Basics of Semantics
Josef Noll
Context-aware Scenarios part II

⌘ Context awareness

Context representation.png


⌘Scenarios 2012

⌘Scenarios 2013

⌘ 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 clearMedia:UNIK4710-L5-v14-LectureNotes.pdf