Show simple item record

dc.contributor.authorEbrahim P. Karan
dc.contributor.authorJavier Irizarry
dc.contributor.authorJohn Haymaker
dc.date.accessioned2017-12-30T13:05:14Z
dc.date.available2017-12-30T13:05:14Z
dc.date.issued2016
dc.identifier.other%28ASCE%29CP.1943-5487.0000519.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245479
dc.description.abstractWhen making design and construction decisions, planners must consider information from different scales and domains. Currently, building and geospatial data are shared and exchanged through a common data format, such as industry foundation classes (IFC). Because of the diversity and complexity of domain knowledge across building information modeling (BIM) and geographic information system (GIS) systems, however, these syntactic approaches are not capable of completely sharing semantic information that is unique in each system. This study uses semantic web technology to ensure semantic interoperability between existing BIM and GIS tools. The proposed approach is composed of three main steps: ontology construction, semantic integration through interoperable data formats and standards, and query of heterogeneous information sources. The completeness of the methodology is validated through a case study.
dc.publisherAmerican Society of Civil Engineers
dc.titleBIM and GIS Integration and Interoperability Based on Semantic Web Technology
dc.typeJournal Paper
dc.journal.volume30
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000519
dc.page04015043
dc.treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record