@inproceedings{1e3c6199959f40149237f994a3f0ab46,
title = "ACTraversal: Ranking crowdsourced commonsense assertions and certifications",
abstract = "Building commonsense knowledge bases is a challenging undertaking. While we have witnessed the successful collection of large amounts of commonsense knowledge by either automatic text mining or games with a purpose (GWAP), such data are of limited precision. Verifying data is typically done with repetition, which works better for very large data sets. Our research proposes a novel approach to data verification by coupling multiple data collection methods. This paper presents ACTraversal, a graph traversal algorithm for ranking data collected from GWAP and text mining. Experiments on aggregating data from two GWAPs, i.e. Virtual Pets and Top10, with two text mining tools, i.e. SEAL and Google Distance, showed significant improvements.",
author = "Chang, {Tao Hsuan} and Kuo, {Yen Ling} and Hsu, {Jane Yung Jen}",
year = "2011",
doi = "10.1007/978-3-642-25044-6_19",
language = "英语",
isbn = "9783642250439",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "234--246",
booktitle = "Agents in Principle, Agents in Practice - 14th International Conference, PRIMA 2011, Proceedings",
note = "14th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2011 ; Conference date: 16-11-2011 Through 18-11-2011",
}