TY - GEN
T1 - Towards ontology learning from folksonomies
AU - Tang, Jie
AU - Leung, Ho Fung
AU - Luo, Qiong
AU - Chen, Dewei
AU - Gong, Jibin
PY - 2009
Y1 - 2009
N2 - A folksonomy refers to a collection of user-defined tags with which users describe contents published on the Web. With the flourish of Web 2.0, folksonomies have become an important mean to develop the Semantic Web. Because tags in folksonomies are authored freely, there is a need to understand the structure and semantics of these tags in various applications. In this paper, we propose a learning approach to create an ontology that captures the hierarchical semantic structure of folksonomies. Our experimental results on two different genres of real world data sets show that our method can effectively learn the ontology structure from the folksonomies.
AB - A folksonomy refers to a collection of user-defined tags with which users describe contents published on the Web. With the flourish of Web 2.0, folksonomies have become an important mean to develop the Semantic Web. Because tags in folksonomies are authored freely, there is a need to understand the structure and semantics of these tags in various applications. In this paper, we propose a learning approach to create an ontology that captures the hierarchical semantic structure of folksonomies. Our experimental results on two different genres of real world data sets show that our method can effectively learn the ontology structure from the folksonomies.
UR - https://www.scopus.com/pages/publications/77951449759
M3 - Conference Paper published in a book
AN - SCOPUS:77951449759
SN - 9781577354260
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 2089
EP - 2094
BT - IJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence
PB - International Joint Conferences on Artificial Intelligence
T2 - 21st International Joint Conference on Artificial Intelligence, IJCAI 2009
Y2 - 11 July 2009 through 16 July 2009
ER -