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2018 | OriginalPaper | Buchkapitel

Building Knowledge Extraction from BIM/IFC Data for Analysis in Graph Databases

verfasst von : Ali Ismail, Barbara Strug, Grażyna Ślusarczyk

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

This paper deals with the problem of knowledge extraction and processing building related data. Information is retrieved from the IFC files, which are an industry standard for storing building information models (BIM). The IfcWebServer is used as a tool for transforming building information into the graph model. This model is stored in a graph database which allows for obtaining knowledge by defining specific graph queries. The process is illustrated by examples of extracting information needed to find different types of routes in an office building.

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Metadaten
Titel
Building Knowledge Extraction from BIM/IFC Data for Analysis in Graph Databases
verfasst von
Ali Ismail
Barbara Strug
Grażyna Ślusarczyk
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-91262-2_57