1. Folksonomies and Ontologies in Authoring of Adaptive Hypermedia
Fawaz Ghali, Mike Sharp, and Alexandra Cristea

2. Overview The Problem The Solution Advantages Methodology Results
Findings

3. The Problem The ontologies lacks of flexibility, scalability.
The folksonomies consists of unstructured data and carries no semantics, leading to questions of accuracy and reusability.

4. State of the art
Modified from:

5. Solution
Merging folksonomies from the Social Web with ontologies from the Semantic Web.

6. Advantages Creating semantic relations between tags of folksonomy.
Augmenting the authoring of adaptive hypermedia

7. Methodology

8. Filtering
Google API Spell Checker

9. Grouping

10. Mapping
Swoogle (SW Search engine)
Jena (SW Framework)

11. Experiment
Flickr
Tag Cloud
Flickr API
Dataset 11,138 tags

12. Conditions
Each tag has to occur at least ten times to be a part of a group
Every two groups that share more than five tags must be combined into one group, to avoid redundancy

13. Results {Food  Fruit} {Desert  food:CheeseNutsDessert}
{vin: property colour = Red}
{Meat  RedMeat  NonSpicyRedMeat}
{RedMeat  NonSpicyRedMeat}

14. Results
Hierarchical cluster analysis for the food group

15. Findings Decreasing the cost of authoring semantic content.
Tags are context-specific
Tags can be system-specific

16. Findings All tags are connected to each other
Not all social web tag-groups are covered by ontologies
Several groups share the same subset of tags

17. Findings The most used ontology element was “instance”.
Merging knowledge from multiple ontologies could provide a much richer perspective
It is possible to have tags in a group which are not mapped onto same ontology.

18. Using the Authored Hierarchical Structure
Enriching the authoring environments
Enrich the adaptive strategies
IF (concept.tag == UM.tag)
then concept.show = TRUE
Suggestions and/or corrections

19. Questions?