[1]孙洪亮[],王志宝[],孙相棋[],等. 基于WebGIS与SOLR的地学可视化检索系统研究[J].计算机技术与发展,2016,26(06):171-174.
　SUN Hong-liang[],WANG Zhi-bao[],SUN Xiang-qi[],et al. Research on Geoscience Visualization Information Retrieval System Based on WebGIS and SOLR[J].,2016,26(06):171-174.
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 基于WebGIS与SOLR的地学可视化检索系统研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年06期
页码:
171-174
栏目:
应用开发研究
出版日期:
2016-06-10

文章信息/Info

Title:
 Research on Geoscience Visualization Information Retrieval System Based on WebGIS and SOLR
文章编号:
1673-629X（2016)06-00171-04
作者:
 孙洪亮[1]; 王志宝[1]; 孙相棋[2] ; 管泽礼[1]
 1.东北石油大学 计算机与信息技术学院；2.大庆油田有限责任公司第四采油厂
Author(s):
 SUN Hong-liang[1]; WANG Zhi-bao[1]; SUN Xiang-qi[2]; GUAN Ze-li[1]
关键词:
 ; 地学信息检索; SOLR; 地球科学; 网络地理信息系统
Keywords:
 ; geo-information retrieval ; SOLR; earth sciences; Web GIS
分类号:
P208；TP311
文献标志码:
A
摘要:
 地球科学是数据密集型科学，信息检索是地学研究的必要步骤。文中针对目前主流的信息检索系统空间语义感知能力不足的问题，设计了顾及空间和语义的检索系统架构。在地学知识库的支持下，采用命名实体识别、实体消歧等自然语言处理技术，将非结构化文档空间化，采用WebGIS地理空间信息技术对查询过程与检索结果可视化。文中以石油勘探为例，在开源检索平台SOLR和空间数据库PostgreSQL的基础上实现了方法验证。经过系统测试和用户使用的验证，该系统提高了地球科学信息检索性能与用户体验。
Abstract:
 Earth science is data-intensive science,and information retrieval is a necessary step in earth sciences. As the mainstream infor-mation retrieval system can identify space semantic weakly,the architecture taking into account spatial entities and thematic information is put forward. The spatialization of unstructured documents are implemented with natural language processing including named entity recog-nition and disambiguation with the help of geoscience knowledge base. The visualization method of the query and retrieved results is put forward by using of WebGIS. A demo system based on SOLR,an open source information retrieval platform and PostgreSQL,a spatial database,is implemented to verify the method. Practices show that the system improves the performance and user experience by data test and validation.

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更新日期/Last Update: 2016-09-26