基于地图地理信息点的数据融合算法的改进

An improved data fusion algorithm based on geographic information points

地图地理信息点的数据描写值滞留在数据的表面级上,数据间缺少必需的相关性和匹配性,从而直接影响用户访问信息的速度和效率,该文提出了一种基于地图地理信息点的数据融合算法(DFGI)。该算法在计算语义相似度的基础上,增加地理信息之间的经纬度距离,以判决地理信息数据之间的相融性,实现地理信息数据之间的目标匹配,提高了单纯相似度匹配不准确的问题。通过实验结果与实际值比较,证明了该算法的有效性,并且能提高地理信息的匹配效率,减少误差值。

The description value for geographic information data stays on the surface level of the data,it lacks the necessary relevance and matching between the data,which directly affects the speed and efficiency of the user access to information. To solve this problem,a data fusion algorithm based on geographic information points（ DFGI） is proposed. Based on the calculation of semantic similarity,the algorithm increases the distance between latitude and longitude of the geographic information to judge the compatibility between geographic information data and achieves the target matching between geographic information data,improves the inaccuracy problem of simple similarity matching. By comparing the experimental results with the actual values,it is proved that the algorithm is effective,and it can improve the matching efficiency of the geographic information and reduce the error value.