Semantic web of building information: Cloud based ‘real world’ building data
Information required by practicing architects, engineers, construction managers, building operators, asset managers, owners, and users becomes more and more distributed, detailed, and richer. BIG DATA is on the rise and this trend will not stop. We rather expect that this trend will further acceler...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stichting OpenAccess
2014-11-01
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| Series: | Spool |
| Online Access: | https://www.spool.ac/index.php/spool/article/view/18 |
| _version_ | 1811204515554131968 |
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| author | Timo Hartmann Jakob Beetz Thomas Krijnen Alexander Koutamanis |
| author_facet | Timo Hartmann Jakob Beetz Thomas Krijnen Alexander Koutamanis |
| author_sort | Timo Hartmann |
| collection | DOAJ |
| description |
Information required by practicing architects, engineers, construction managers, building operators, asset managers, owners, and users becomes more and more distributed, detailed, and richer. BIG DATA is on the rise and this trend will not stop. We rather expect that this trend will further accelerate in the upcoming years as;
• more and more sensor technologies will become widely available to access existing conditions in the built environment,
• more and more information streams will be combined for various purposes, e.g. mobile data access information to space use in order to evaluate wireless infrastructure performance but also to establish building use patterns in post-occupancy evaluations,
• advanced design tools will allow for more detailed data-driven simulation of an increasing number of design alternatives in shorter time spans, and
• participatory efforts will involve an ever larger number of specialists and non-specialists that all provide information that needs to be accounted for during design and construction planning.
We expect that these will be key areas for research in the upcoming years. In this lighthouse project we made four important first steps to enable such research:
• 3TU BIM Data Repository
• Data format, standard, and dictionary map
• Information use and exchange processes
• Automated indexing methods
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| first_indexed | 2024-04-12T03:14:37Z |
| format | Article |
| id | doaj.art-c8bf890c6e1e43919e37ba1ef4498ba8 |
| institution | Directory Open Access Journal |
| issn | 2215-0897 2215-0900 |
| language | English |
| last_indexed | 2024-04-12T03:14:37Z |
| publishDate | 2014-11-01 |
| publisher | Stichting OpenAccess |
| record_format | Article |
| series | Spool |
| spelling | doaj.art-c8bf890c6e1e43919e37ba1ef4498ba82022-12-22T03:50:13ZengStichting OpenAccessSpool2215-08972215-09002014-11-0112Semantic web of building information: Cloud based ‘real world’ building dataTimo Hartmann0Jakob Beetz1Thomas Krijnen2Alexander Koutamanis3University of Twente, Engineering TechnologyEindhoven University of Technology, Built EnvironmentEindhoven University of Technology, Built EnvironmentTU Delft, Architecture and the Built Environment Information required by practicing architects, engineers, construction managers, building operators, asset managers, owners, and users becomes more and more distributed, detailed, and richer. BIG DATA is on the rise and this trend will not stop. We rather expect that this trend will further accelerate in the upcoming years as; • more and more sensor technologies will become widely available to access existing conditions in the built environment, • more and more information streams will be combined for various purposes, e.g. mobile data access information to space use in order to evaluate wireless infrastructure performance but also to establish building use patterns in post-occupancy evaluations, • advanced design tools will allow for more detailed data-driven simulation of an increasing number of design alternatives in shorter time spans, and • participatory efforts will involve an ever larger number of specialists and non-specialists that all provide information that needs to be accounted for during design and construction planning. We expect that these will be key areas for research in the upcoming years. In this lighthouse project we made four important first steps to enable such research: • 3TU BIM Data Repository • Data format, standard, and dictionary map • Information use and exchange processes • Automated indexing methods https://www.spool.ac/index.php/spool/article/view/18 |
| spellingShingle | Timo Hartmann Jakob Beetz Thomas Krijnen Alexander Koutamanis Semantic web of building information: Cloud based ‘real world’ building data Spool |
| title | Semantic web of building information: Cloud based ‘real world’ building data |
| title_full | Semantic web of building information: Cloud based ‘real world’ building data |
| title_fullStr | Semantic web of building information: Cloud based ‘real world’ building data |
| title_full_unstemmed | Semantic web of building information: Cloud based ‘real world’ building data |
| title_short | Semantic web of building information: Cloud based ‘real world’ building data |
| title_sort | semantic web of building information cloud based real world building data |
| url | https://www.spool.ac/index.php/spool/article/view/18 |
| work_keys_str_mv | AT timohartmann semanticwebofbuildinginformationcloudbasedrealworldbuildingdata AT jakobbeetz semanticwebofbuildinginformationcloudbasedrealworldbuildingdata AT thomaskrijnen semanticwebofbuildinginformationcloudbasedrealworldbuildingdata AT alexanderkoutamanis semanticwebofbuildinginformationcloudbasedrealworldbuildingdata |