Integration of Computational and Crowd-Sourcing Methods for Ontology Extraction

摘要：

Ontological approach is one of those promising solutions to improve search precision, resource navigation and retrieval by providing shared vocabularies and semantic relations for translating and integrating the different sources. But the progress has slowed down due to the knowledge acquisition bottleneck. In this paper, we present an integrated conceptual framework for extracting ontological structures from folksonomies that exploits the combined power of traditional computation and pooled, human knowledge through crowd-sourcing.

作者: Huairen Lin Joseph Davis Ying Zhou

作者单位: School of Information Technologies, The University of Sydney Sydney, New South Wales, Australia

会议类型: 国际会议

会议名称: Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

会议地点: 珠海

会议语种:英文

页码: 306-309

在线出版日期: 2009-10-12（万方平台首次上网日期，不代表论文的发表时间）