An Ordered Semantic Clustering Algorithm Supporting Urban Block Knowledge Graph

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City is a unified organism, the use function of different land use reasonably organize the parts together, should not only meet the relationship between each other, also want to avoid the bad influence and interference between each other, the city's financial and trade, public service, shopping and entertainment, administrative functions are mostly distributed in the street on both sides of buildings, present a city resource intensive and efficient phenomenon, Identifying the features of functional partition of urban blocks can provide help for the comprehensive planning, rational allocation and overall arrangement of urban spatial structure and resources, and create good conditions for production and life. Traditional linear semantic clustering algorithms can be used to divide single-function urban street districts, but urban blocks include not only single-function districts, but also mixed-function districts. In this paper, an ordered semantic clustering algorithm is proposed to support the partition of urban functional blocks. While discovering the single functional area, the mixed area can be found at the same time, and the mixed area can be divided into the mixed functional area and the comprehensive functional area. The algorithm is divided into two stages. In the first stage, linear street research units are divided to identify single functional areas. In the second stage, mixing degree analysis was conducted to identify mixed functional areas and their categories.