1. AceWiki:
A Natural and Expressive
Semantic Wiki
Tobias Kuhn
University of Zurich
Semantic Web User Interaction at CHI 2008
Florence
5 April 2008
2. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 2
Introduction
Semantic Wikis
Semantic Web meets Web 2.0
Shortcomings of existing semantic wikis
Hard to understand for people who are not
familiar with ontologies and logic
Relatively inexpressive (mostly just subject-
predicate-object structures)
3. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 3
AceWiki approach
Wiki articles in controlled natural language
Attempto Controlled English (ACE)
Easy to understand: ACE is a subset of English
Expressive: ACE covers a large part of FOL
Example article:
Public demo: http://attempto.ifi.uzh.ch/acewiki
6. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 6
Reasoning
AceWiki currently uses the OWL reasoner Pellet
ACE is more expressive than OWL
The sentences that are inside of OWL get a blue
triangle; the others get a red one
Sentences that are in conflict with the current
knowledge are not included into the ontology.
7. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 7
Inferences
Reasoner is used to infer concept memberships and
concept hierarchies.
8. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 8
Usability-Experiment
Hypothesis: Average people are able to learn how
to deal with AceWiki within a short amount of time
and without the help of an expert.
Small-scale: 20 participants
Task for the participants:
Add knowledge to AceWiki!
only true and general knowledge
modify/delete the contributions of others, if
appropriate
No instructions how to interact with the interface
9. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 9
Background of the Participants
“How familiar are you with the term ...?”
10. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 10
Results: Correct/Incorrect Sentences
Altogether 186 sentences were created by the
users.
148 of them were “correct and sensible”.
12. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 12
Results: Time
How much time was spent on AceWiki?
How much time was spent on the predictive editor?
13. Tobias Kuhn, SWUI 2008, Florence, 5 April 2008 13
Thank you for your attention!
Questions & Discussion