A Semantic Search Engine Based on SKOS Model Ontology in Agriculture

摘要：

A simple agriculture ontology system was constructed under extended SKOS model in this paper. A theme relevance algorithm based on terms distances in ontology system was tested and applied in improving the Pagerank evaluating. And also an online agricultural semantic search engine named as Sonong was implemented and deployed for service on internet. This online engine provides semantic hierarchy inference with the ontology system and a satisfying ranking list of retrieved information.

作者: Yong Yang Jinhui Xiong Shuyan Wang

作者单位: School of Information and Electrical Engineering, Shengyang Agricultural University,110866 Shenyang, School of Information and Electrical Engineering, Shengyang Agricultural University,110866 Shenyang,

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 110-118

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）