LOD Stories { Learning About Art by Building Multimedia Stories - - PowerPoint PPT Presentation

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LOD Stories { Learning About Art by Building Multimedia Stories - - PowerPoint PPT Presentation

LOD Stories { Learning About Art by Building Multimedia Stories Hao Zhang, Jianliang Chen, Yuting Liu, Dipanwita Maulik, Linda Xu Dr. Craig A. Knoblock, Dr. Pedro Szekely University of Southern California, United States MielVander Sande Ghent


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{

LOD Stories

Learning About Art by Building Multimedia Stories

Hao Zhang, Jianliang Chen, Yuting Liu, Dipanwita Maulik, Linda Xu

  • Dr. Craig A. Knoblock, Dr. Pedro Szekely

University of Southern California, United States MielVander Sande Ghent University, Belgium

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  • Mr. Bean (2007)
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Rowan Atkinson

  • Mr. Bean (2007)
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Zazu The Lion King (1994)

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Main Actor Voice Main Character

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Andy Wharhol Carnegie institute of Technology Pittsburgh George Washington The Law

  • f Nations

Emerich de Vattel

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LOD Stories

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Related Work

Everything is Connected

http://everthingisconnected.be

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WikiLinks

Related Work

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Relationship Exploration Learning Using Multimedia User Engagement

LOD Stories

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A Slide Demo…

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Andy Warhol

?

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Node Navigation Bar: Nodes as in the path

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Multimedia Collection: images and videos from the web

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Multimedia Collection: images and videos from the web

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Multimedia Preview: Preview images, videos and voices

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Narration Editor: Edit text description of the node

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Movie Navigation: Drag image and video here to make the movie

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Switch to node: Pittsburgh

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Puzzle Pieces Topic Transition Text to Speech Software Google Images and Videos

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How it works…

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Path Explorer

Search Request

Path Finder

Machine Learning Module Interesting Connection s Path Data

Story Editor

Generators

Date Profile Voice Image Video

Multimedia Data Story Elements

Story Player

Storyline Multimedia Story

Project Architecture

Smithsonian

Triple Store Datasets

DBpedia Images & Videos from Web

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Path Finder

Feature 1 Feature 2 Feature 3 Feature 4 … Interestingness Triple 1 0.95 0.45 0.13 0.87 … 4 … … … … … … …

Training Datasets Machine Learning Formula for Interesting Relationships Machine Learning

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Path Finder

Subject Degree Object Degree Subject Extension Rarity Object Extension Rarity

Andy Warhol Author Campbell’s Soup Can

Normalized Feature Value (Subj. Deg.) ?

Andy Warhol

*

?

Person

*

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Path Finder

Subject Degree Object Degree Subject Extension Rarity Object Extension Rarity

Andy Warhol Author Campbell’s Soup Can

Normalized Feature Value (Obj. Deg.) ?

Soup Can

*

?

*

Work

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Path Finder

Subject Degree Object Degree Subject Extension Rarity Object Extension Rarity

Andy Warhol Author Campbell’s Soup Can

Normalized Feature Value (Subj. Ext. Rarity) Author

Andy Warhol

*

Author

* *

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Path Finder

Subject Degree Object Degree Subject Extension Rarity Object Extension Rarity

Andy Warhol Author Campbell’s Soup Can

Normalized Feature Value (Obj. Ext. Rarity) Author

Soup Can

*

Author

* *

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Path Finder

Rank = 3.9595 * Subj. Extension Rarity + 0.8631 * Obj. Extension Rarity

  • 0.1643 * Subj. Degree

+ 0.0014 * Obj. Degree + 1.2353

Subject Degree Object Degree Subject Extension Rarity Object Extension Rarity

Andy Warhol Author Campbell’s Soup Can

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Path Finder

  • Subj. Ext.

Rarity

  • Obj. Ext.

Rarity Subj. Degree Obj. Degree Interestingness 1.46E-05 1.60E-04 5.62E-05 4.65E-05 4

Andy Warhol Author Campbell’s Soup Can

Hmmm… Pretty Interesting

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Path Finder

User Feedback

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Discussion

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Project Features

Path Recommendation Mechanism Flexible Editing Multimedia Elements Mash-up

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Future Work

Improve Machine Learning Model Enrich Path Explorer and Story Editor Functionalities Fully Integrate with Smithsonian Museum Datasets

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Thanks!

http://lodstories.isi.edu