Integration of Travel Information based on Information Eztraction and Instance Matching
The semantic web has become the focus of attention for its strong ability of data sharing and reusing.But the acquisition of semantic data is a big problem.In this work,we introduce a series of methods on how to extract travel information data from web sites,how to transform the common travel information data to semantic data,how to integrate the semantic data through instance matching.The main contribution is the introduction to the whole process of the semantic data integration,including the technology of information extraction,instance matching and transformation from common data to the coherent semantic data.We extracted more than 20,000 pieces of common data of tourist routes,sights, and travel agents from different travel web sites, and integrated more than 4,000 pieces of tourist routes data with comprehensive information.
data integration semantic web information eztraction instance matching
Feng Shi Juanzi Li Jianqiang Hu
Knowledge Engineering Group,Tsinghua University,Beijing,China
国际会议
南京
英文
1-10
2009-08-29（万方平台首次上网日期，不代表论文的发表时间）