Reduction, simplification, translation and interpretation in the exchange of model data

  • Vladimir Bazjanac
  • , Arto Kiviniemi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

A major purpose of Building Information Models (BIM) is to serve as a comprehensive depository of data that are retrievable by multiple software applications that participate in the same AECO industry project. Data placed in a BIM by one software application are retrieved and used by other applications. Retrieved data are at times not useable by the recipient application in exactly the same form as received; in such cases the received data are manipulated and/or transformed before they can be used. This paper discusses data transformation issues that arise when transformation is necessary for "downstream" applications that use data authored by model based CAD and/or other interoperable software. These include manual and semi-manual data transformation, as well as rules for data set reduction and simplification, and rules for data translation and interpretation. The rules can be imbedded in data model views and middleware to become part of a seamless process of data exchange and sharing.
Original languageEnglish
Title of host publicationBringing ITC Knowledge to Work
Subtitle of host publication24th W78 Conference Maribor 2007
PublisherInternational Council for Building Research Studies and Documentation CIB
Pages163-168
ISBN (Print)978-961-248-033-2
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
Event24th W78 Conference Maribor 2007 Bringing ITC Knowledge to Work - Maribor, Slovenia
Duration: 26 Jun 200729 Jun 2007

Publication series

SeriesCIB W78 conference series
Volume163
ISSN2706-6568

Conference

Conference24th W78 Conference Maribor 2007 Bringing ITC Knowledge to Work
Country/TerritorySlovenia
CityMaribor
Period26/06/0729/06/07

Keywords

  • buildings
  • data modeling
  • BIM
  • data transformation
  • data reduction
  • rules of transformation
  • data interpretation

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