Learning of Ontology from the Web-table

摘要：

Table is ubiquitous in web documents. Turning the web-table information into ontology requires automatic approaches. In this paper, we discuss how to learn ontology from web-table. In order to obtain table schemata for learning of ontology, we first present general layout structure of the table, then, we propose ontology extraction method according to the five table group. The learned ontology includes the following relationships: is-a relationships, class-instance relationships, RDF triples, property domains and property ranges.

关键词： web-table table information extracting ontology learning class relationship

作者: Song-il CHA Zong-min MA Jing-wei CHENG Fu ZHANG

作者单位: College of Information Science and Engineering Northeastern UniversityShenyang, China Department of College of Information Science and Engineering Northeastern UniversityShenyang, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1507-1511

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）