基于扩展语义匹配的BIM和GIS三维建筑数据融合

BIM and GIS 3D Building Data Fusion Based on Extended Semantic Matching

目前,在BIM与GIS融合方面的研究主要分为三个方向,分别是数据格式转换、数据标准扩展和本体论。本项目选择通过本体论的模式进行IFC和CityGML的实体融合。首先,通过语义修正提取实体的三元组,用知识表示学习,将三元组表示为实体向量,将实体语义信息转换到低维向量空间,采取以扩展语义匹配为基础构建IFC和CityGML标准的匹配融合系统,解决在IFC和CityGML两个不同的标准下对同一实体的语义方面的理解偏差问题,并通过相似度计算进行聚类;其次,通过提取到的三元组,利用实体—关系—实体进行几何重构,将IFC标准的实体映射到CityGML标准的实体;最后,用建立的三维模型验证,实现了实体从BIM领域到GIS领域的转换。

At present,the research on the integration of BIM and GIS is mainly divided into three directions,namely data format conversion,data standard extension,and ontology.This project chooses to carry out the entity integration of IFC and CityGML through the ontology mode.The triples of entities are extracted through semantic modification,and then the triples are represented as entity vectors by knowledge representation learning.The semantic information of entities is transformed into a low-dimensional vector space,and the matching fusion system of IFC and CityGML standards is constructed based on extended semantic matching.To solve the problem of semantic understanding bias of the same entity under IFC and CityGML,and to cluster by similarity calculation.In addition,the extracted triples were used to carry out geometric reconstruction using entity-relations-entity,and the entities of IFC standard were mapped to entities of CityGML standard.Finally,the established 3D model is used to verify and to realize the transformation from BIM field to GIS field.