Fawaz Ghali, Mike Sharp, and Alexandra Cristea Folksonomies and Ontologies in Authoring of Adaptive...
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![Page 1: Fawaz Ghali, Mike Sharp, and Alexandra Cristea Folksonomies and Ontologies in Authoring of Adaptive Hypermedia.](https://reader036.fdocuments.in/reader036/viewer/2022081516/55160e52550346d46f8b611f/html5/thumbnails/1.jpg)
Fawaz Ghali, Mike Sharp, and Alexandra Cristea
Folksonomies and Ontologies in Authoring of Adaptive
Hypermedia
![Page 2: Fawaz Ghali, Mike Sharp, and Alexandra Cristea Folksonomies and Ontologies in Authoring of Adaptive Hypermedia.](https://reader036.fdocuments.in/reader036/viewer/2022081516/55160e52550346d46f8b611f/html5/thumbnails/2.jpg)
Overview
• The Problem• The Solution• Advantages• Methodology• Results• Findings
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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.
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State of the art
Modified from: www.mindingtheplanet.net
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Solution
• Merging folksonomies from the Social Web with ontologies from the Semantic Web.
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Advantages
• Creating semantic relations between tags of folksonomy.
• Augmenting the authoring of adaptive hypermedia
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Methodology
![Page 8: Fawaz Ghali, Mike Sharp, and Alexandra Cristea Folksonomies and Ontologies in Authoring of Adaptive Hypermedia.](https://reader036.fdocuments.in/reader036/viewer/2022081516/55160e52550346d46f8b611f/html5/thumbnails/8.jpg)
Filtering
• Google API Spell Checker
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Grouping
![Page 10: Fawaz Ghali, Mike Sharp, and Alexandra Cristea Folksonomies and Ontologies in Authoring of Adaptive Hypermedia.](https://reader036.fdocuments.in/reader036/viewer/2022081516/55160e52550346d46f8b611f/html5/thumbnails/10.jpg)
Mapping
• Swoogle (SW Search engine)
• Jena (SW Framework)
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Experiment
• Flickr
• Tag Cloud
• Flickr API
• Dataset 11,138 tags
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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
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Results
{Food Fruit}
{Desert food:CheeseNutsDessert}
{vin: property colour = Red}
{Meat RedMeat NonSpicyRedMeat}
{RedMeat NonSpicyRedMeat}
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Results
Hierarchical cluster analysis for the food group
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Findings
• Decreasing the cost of authoring semantic content.
• Tags are context-specific
• Tags can be system-specific
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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
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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.
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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
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Questions?