Towards the Semantic Enrichment of Existing Online 3D Building Geometry to Publish Linked Building Data.

KGSWC(2019)

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摘要
Currently, existing online 3D databases each have their own structure according to their own needs. Additionally, the majority of online content only has limited semantics. With the advent of Semantic Web technologies, the opportunity arises to semantically enrich the information in these databases and make it widely accessible and queryable. The goal is to investigate whether online 3D content from different repositories can be processed by a single algorithm to produce the desired semantics. The emphasis of this work is on extracting building components from generic 3D building geometry and publish it as Linked Building Data.
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关键词
Existing data,3D geometry,Linked building data,Classification
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