Multi-source POI matching method based on multi-feature similarity

doi:10.13474/j.cnki.11-2246.2022.0117

Abstract

Abstract: Aiming at the problem that multi-source POI feature differences lead to the difficulty of identifying the same objects, this paper proposes a multi-source POI matching based on feature similarity method. Considering POI spatial and non-spatial attributes, four features including name, location, address and classification are selected for similarity calculation. The importance of each feature index is analyzed by analytic hierarchy process, and the feature weight information is obtained. The candidate matching objects are screened according to the total similarity to determine the final matching comparison. Experimental results show that the proposed method has high matching accuracy and is more suitable for multi-source heterogeneous POI data matching. It can meet the demand of efficient matching of multi-source POI data.

Key words: multi-source heterogeneous, POI, multi-feature similarity, matching, analytic hierarchy process

CLC Number:

P208

LUO Guowei, YE Jiayuan, WANG Jinfeng. Multi-source POI matching method based on multi-feature similarity[J]. Bulletin of Surveying and Mapping, 2022, 0(4): 96-100.

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