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Unrequited Love and the Ontology of Duckburg Donald Duck and his friends

Unrequited Love and the Ontology of Duckburg Donald Duck and his friends Topic Maps 2008, 4. April Birte Fallet, Kjersti Haukaas and Asbjørn Risan Oslo University College. Background. Mastercourse at Oslo University College in Digital Documents

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Unrequited Love and the Ontology of Duckburg Donald Duck and his friends

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  1. Unrequited Love and the Ontology of Duckburg Donald Duck and his friends Topic Maps 2008, 4. April Birte Fallet, Kjersti Haukaas and Asbjørn Risan Oslo University College

  2. Background Mastercourse at Oslo University College in Digital Documents Topic Maps was a major subject with Steve Pepper as tutor Students from all over the world 17 different countries, all continents represented Practical approach In just 2 months we created an individual topic map and a topic map as a group project

  3. Examples of topic maps created Norwegian Christmas Street Style Historical monuments Dog Breeds Digital Libraries Wine Inferno Donald Duck and his friends

  4. Tools Linear Topic Map Syntax (LTM)‏ Simple, not as verbose as XML Topic Map Syntax (XTM 1.0)‏ [donald] OKS-Samplers Omnigator views both LTM and XTM 1.0 topic maps Ontopoly for ontology-driven editing All tools easy to use and ready out of the box The challenge is the ontology and understanding the domain and scope

  5. Why creating a topic map of Donald and his friends? We have been reading Donald comics for more than 100 years - all are Domain experts - created this topic map just for fun, learned a lot! - who invented Donald and Daisy - how to create a family hierarchy with missing links The scope is Donald Duck and his fictive world - Main topic types : Character and Story

  6. Family relationships with ”Missing links” Unrequited love Occupations that swaps from one story to the next Ontology – the challenge

  7. Carls Bark's family treeearly 1950's

  8. A family relationship is often shown as a parent-child relation in Topic Map Family relations Quackmore T parent of parent of T T Della Donald parent of T Dewey

  9. A family relationship is often shown as a parent-child relation in Topic Map Quackmore T parent of parent of Sibling of T T Della Donald parent of uncle of T Dewey Family relations

  10. A family relationship is often shown as a parent-child relation in Topic Map Quackmore T parent of parent of Sibling of T T Della Donald parent of uncle of T Dewey Family relations • ... but what when we don't have information about the parents ?

  11. Not all characters participate in stories

  12. A high number of assosiation types are needed to cover all family relationship types Uncle of Cousin of Grandparent of uncle nephew grandson Cousin

  13. Symmetric associations • Some associations are the same in both directions • E.g., if Mickey is a friend of Goofy, then Goofy is (presumably) a friend of Mickey • In this case the role type is the same • We call this a symmetric association friend-of friend friend T T T T R A T R Mickey Goofy

  14. We used the symmetric association for Friends Rivals Lovers

  15. Unrequited love • Tegneserie eller noe sånt for å få framunrequired love

  16. Unrequited love • All associations of the same type should have • the same role types – a «single signature»

  17. In love with In love with In love with Not in loved with In love with In love with

  18. In love with In love with In love with Beloved by Unrequited love Unrequited in love

  19. Swapping occupations • Some characters have a permanent occupation • Gyro Gearloose – Inventor Some characters have different occupations indifferens stories • Donald – Museum guard, Factory worker, Dog catcher Donald Character Museum guard Lost in the Andes Works as Occupation Story

  20. Demonstration...

  21. Summary • Associative richness • Facilitates navigation and browsing • Flexible • Can represent any knowledge model and ”view” any datastructure • A minute to learn - a ”lifetime” to master • Quite fun actually :-)‏

  22. http://www.ontopedia.net/tmv/tm.jsp?tm=DonaldDuck.xtm Thank you for your attention

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