@inproceedings{9c4ee6eab0214ae888703e2c9b20b7ab,
title = "Goal-oriented knowledge collection",
abstract = "Games with A Purpose (GWAP) has been demonstrated to be efficient in collecting large amount of knowledge from online users, e.g. Verbosity and Virtual Pet game. However, its effectiveness in knowledge base (KB) construction has not been explored in previous research. This paper examines the knowledge collected in the Virtual Pet game and presents an approach to collect more knowledge driven by the existing relations in KB. In this paper, goal-oriented knowledge collection successfully draws 10572 answers for the {"}food{"} domain. The answers are verified by online voting to show that 92.07\% of them are good sentences and 95.89\% of them are new sentences. This result is a significant improvement over the original Virtual Pet game, with 80.58\% good sentences and 67.56\% weekly new information.",
author = "Kuo, \{Yen Ling\} and Hsu, \{Jane Yung Jen\}",
year = "2010",
language = "英语",
isbn = "9781577354840",
series = "AAAI Fall Symposium - Technical Report",
publisher = "AI Access Foundation",
pages = "64--69",
booktitle = "Commonsense Knowledge - Papers from the AAAI Fall Symposium, Technical Report",
note = "2010 AAAI Fall Symposium ; Conference date: 11-11-2010 Through 13-11-2010",
}