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

this page was created by Special:FormEdit/Lecture, and can be edited by Special:FormEdit/Lecture/Context-aware Scenarios part II.


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

Presentations

Orienteering Scenario Kjetil.png

Lecture Notes 2014

Lecture Notes 2013

Lecture Notes 2012

Other info

Title
Basics of Semantics
Author
Josef Noll
Footer
Context-aware Scenarios part II
Subfooter
UNIK4710/UNIK9710



⌘ Context awareness

Context representation.png

⌘Scenarios

⌘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