基于Solr的空间数据语义搜索研究

Spatial Data Semantic Search Based on Solr

随着互联网技术的飞速发展,基于网络地图的空间数据搜索成为人们获取空间信息的重要手段。文章分析了当前地图搜索的不足和瓶颈,阐述了其在处理空间语义方面的缺陷,提出了一种基于Solr的空间数据语义搜索方案:将全文检索引擎Solr应用到空间数据搜索中;同时,引入自然语言处理和本体技术,实现基于自然语言查询的空间数据语义搜索。最后建立原型系统进行验证,证明了该方案的可行性和有效性。

With the rapid development of Internet technology, spatial data search based on network map has become an important way for people to obtain spatial information. This paper analyzes the current shortcomings and bottlenecks of map search, describes its shortcomings in dealing with the spatial semantic. In this paper, spatial data semantic search solution based on Solr is proposed： ap- plying Solr, a full -text search engine, to spatial data search and using natural language processing and ontology technology, to solve the problem of spatial data semantic search based on natural language query. Finally, a prototype system is built which proved the fea- sibility and effectiveness of the solution.