Fast, cheap and out of control: a zero curation model for ontology development.
During two days at a conference focused on circulatory and respiratory health, 68 volunteers untrained in knowledge engineering participated in an experimental knowledge capture exercise. These volunteers created a shared vocabulary of 661 terms, linking these terms to each other and to a pre-existing upper ontology by adding 245 hyponym relationships and 340 synonym relationships. While ontology-building has proved to be an expensive and labor-intensive process using most existing methodologies, the rudimentary ontology constructed in this study was composed in only two days at a cost of only 3 t-shirts, 4 coffee mugs, and one chocolate moose. The protocol used to create and evaluate this ontology involved a targeted, web-based interface. The design and implementation of this protocol is discussed along with quantitative and qualitative assessments of the constructed ontology.
Good
Benjamin M
BM
James Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia V6Z1 Y6, Canada.
Tranfield
Erin M
EM
Tan
Poh C
PC
Shehata
Marlene
M
Singhera
Gurpreet K
GK
Gosselink
John
J
Okon
Elena B
EB
Wilkinson
Mark D
MD
D001185:Artificial Intelligence; D019295:Computational Biology; D051188:Knowledge Bases; D009323:Natural Language Processing; D017432:Unified Medical Language System