基于混合本体的专题图数据获取与信息集成

Thematic Traffic Map from Multi-Source Data Driven by Hybrid Ontology

在以往的专题图制图过程中,专题数据准备工作往往由人工完成,从多源数据中获取有用的专题知识以及异构数据的专题语义转换问题成为提高专题制图效率的瓶颈所在。鉴于此,以陆上交通数据为例,利用多源地理空间数据混合本体,通过本体-数据集-专题本体-专题数据集中的概念映射、数据映射等过程,完成专题信息融合以及异构数据下语义的统一与转换。

Thematic data drawing process. Getting preparation work was often finished artificially in the past thematic map useful topic knowledge from multiple sources of data and the thematic se- mantic heterogeneous data conversion are bottleneck problems for improving the efficiency of themat- ic mapping. In view of this, this paper takes land transport data as an example, uses multi-source geo-spatial data based on ontology, adopts bulk-data sets-ontology-topics such as concept maps, map data in a dataset, and finally completes integration of thematic information and conversion of seman- tic heterogeneous datasets.