The Austrian Education Portal. Semantic technologies for E-learning

The Austrian Education PortalSemantic Technologies for E-learning



based on an idea by MinRat Mag. Dr. R. HawleHead Section IT Systems for Learning

Austrian Ministry for Teaching, Art and Culture

Carlo A. TrugenbergerInfoCodex Semantic Technologies AG, CH-9470 Buchs

December 2008 1www.InfoCodex.com



Problems

• Difficulties in formulating and adopting standards for learning objects (common problem to all top-down approaches)

• Large quantities of heterogeneous learning object repositories

• Lack of appropriate and effective search tools for the identification and composition of learning objects

• Lack of visualization tools for large quantities of information no overview of the available learning material

December 2008 www.InfoCodex.com 2



Manually tagging and annotating in real life:




“Semantic” = “pertaining to meaning”

Semantic technologies machines access the meaning of content

• 1st approach: top-down manually tag all Web pages by invisible, computer-readable metadata RDF, OWL,…

• 2nd approach: bottom-up abandon dream of re-coding all Web sites and develop better computational intelligence to enable machines to understand enough content for practical applications




Concrete examples of semantic content modeling

• Automatic categorization: self-organized / tuned / pre-defined (85% precision / 91% recall on “noisy”, multi-lingual documents) cross-lingual content recognition • Synonym search, Semantic search Content similarity search

• Semantic links between documents

• Abstract generation




Virtual library visualization




Semantic search




Content similarity search


The Austrian Education Portal. Semantic technologies for E-learning

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