Road network semantic similarity calculation model based on subjective and objective integration weighting method

A semantic similarity and road network technology, applied in computing, semantic analysis, computer components, etc., can solve the problems of large impact on matching results and long time consumption, and achieve good matching effect, improved matching rate, and good use value Effect

Pending Publication Date: 2021-04-27
LANZHOU JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

This type of method can currently achieve better matching results, but there are many situations to be considered when using geometric similarity for road network matching, and it takes a long time
Therefore, it is necessary to consider the application of the semantic similarity measurement model in road network matching, but the current method mainly uses the subjective weighting method to construct the semantic similarity model, and uses the expert assignment method when selecting the similarity matching threshold. Matching results have a greater impact

Method used

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  • Road network semantic similarity calculation model based on subjective and objective integration weighting method
  • Road network semantic similarity calculation model based on subjective and objective integration weighting method
  • Road network semantic similarity calculation model based on subjective and objective integration weighting method

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] The embodiment of the present invention discloses a road network semantic similarity calculation model based on the subjective-objective integrated weighting method, including:

[0030] 1. Computation of semantic similarity of single attribute item

[0031] Step 1. Read the attribute table data, and divide it into character type, numerical type, enumeration type and judgment type according to the different expression forms of attribute inf...

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Abstract

The invention discloses a road network semantic similarity calculation model based on a subjective and objective integration weighting method. The method comprises the following steps: firstly, calculating semantic similarity of a single attribute item according to description characteristics of each attribute item; then, determining the weight by adopting a subjective and objective integration weighting method; and finally, determining a similarity matching threshold by utilizing regression analysis. When the model is applied to multi-scale road network matching, the matching rate, recall rate and F value can be effectively improved. Compared with a mean value method and a subjective weighting method, the subjective and objective integration weighting method has the advantages that the weight combination can more reasonably reflect the importance of each attribute item; compared with an expert assignment method, the optimal similarity matching threshold value selected through regression analysis is more targeted, and the road network matching efficiency can be effectively improved.

Description

technical field [0001] The invention relates to the field of vector data matching, and more specifically relates to a road network semantic similarity calculation model based on a subjective-objective integrated weighting method. Background technique [0002] With the wide application of road network data in various fields such as smart cities, intelligent transportation, and mobile location services, people's demand for road network data is increasing, and the requirements for its current situation are also getting higher and higher. However, due to the different application purposes of different departments, road network data in the same area are collected and depicted using different data sources and different scales. As a result, a lot of resources are wasted, and the semantic, scale, space-time and other differences of the road network data are caused, which brings great difficulties to the integration and sharing of data. Therefore, the real-time update of road networ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06K9/62G06F17/18
CPCG06F40/30G06F17/18G06F18/22
Inventor 王中辉闫浩文崔洁吴冰娇
Owner LANZHOU JIAOTONG UNIV
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