Linked data view methodology and application to BIM alignment and interoperability

2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)(2016)

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摘要
Building Information Modeling needs better strategies for schema interoperability in order to begin solving some of the problems the building industry faces including discrepancies in simulation tool data, missing or incorrect data, and gaps in data sourcing transparency. Addressing these challenges so far has often resulted in further “siloed” translation tools that only work for the few formats for which they were built. An application of Linked Data Views (or Semantic Views) is presented as part of a larger, modular, and extensible framework that provides a method to automatically query, understand, and translate BIM instances into Linked Data. This bypasses the need for individual translators in order to access the multitude of simulations tools, allows multiple data stores to be compared properly for more accurate Decision Support, and can be connected to other Linked Data for verifying, correcting, and extending our knowledge through available resources in multiple locations.
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关键词
Big Data, Linked Data Platform, Interoperability, REST APIs, Linked Data, Semantic Web, Building Information, Modeling, Ontology Alignment, Spatial Data Modeling
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