Fawaz Ghali, Mike Sharp, and Alexandra Cristea

Folksonomies and Ontologies in Authoring of Adaptive

Hypermedia

Overview

• The Problem• The Solution• Advantages• Methodology• Results• Findings

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.

State of the art

Modified from: www.mindingtheplanet.net

Solution

• Merging folksonomies from the Social Web with ontologies from the Semantic Web.

Advantages

• Creating semantic relations between tags of folksonomy.

• Augmenting the authoring of adaptive hypermedia

Methodology

Filtering

• Google API Spell Checker

Grouping

Mapping

• Swoogle (SW Search engine)

• Jena (SW Framework)

Experiment

• Flickr

• Tag Cloud

• Flickr API

• Dataset 11,138 tags

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

Results

{Food Fruit}

{Desert food:CheeseNutsDessert}

{vin: property colour = Red}

{Meat RedMeat NonSpicyRedMeat}

{RedMeat NonSpicyRedMeat}

Results

Hierarchical cluster analysis for the food group

Findings

• Decreasing the cost of authoring semantic content.

• Tags are context-specific

• Tags can be system-specific

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

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.

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

Questions?