A method of the real estate data integration based on weighted similarity model

doi:10.13474/j.cnki.11-2246.2021.0189

Abstract

Abstract: In order to complete the connection between the project results of the real estate register survey and the real estate register information system,to realize the integration of the data of the real estate register survey, comprehensively consider the massive, multi-source and heterogeneous of data, etc., we propose a euclidean distance and similar coefficient and establish a normalized comprehensive index on describing the approximation of data samples—similarity distance. According to the maximum value to determine the correlation target,and achieve land parcel matching. Through the application of experimental evaluation and algorithm benefit analysis,which can improve the efficiency on personnel input, completion cycle and funds, at the same times has a generalized significance in the field of data integration.

Key words: integration of real estate data, weighted similarity model, results of cadastral survey, Euclidean distance, similarity coefficient

CLC Number:

P208

LONG Beiping, WU Jiajie, ZHENG Qinhua, SUN Liheng, LIU Kunming. A method of the real estate data integration based on weighted similarity model[J]. Bulletin of Surveying and Mapping, 2021, 0(6): 122-126.

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