TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS
Recent years has seen an increase in the work done on indoor data mapping and modeling. The standard data models provide different ways to store and access the indoor data but the way it is done is specific to the domain in which they are used. Although models like IFC, CityGML and IndoorGML provide...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/591/2018/isprs-archives-XLII-4-591-2018.pdf |
| _version_ | 1811324148555710464 |
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| author | S. Srivastava N. Maheshwari K. S. Rajan |
| author_facet | S. Srivastava N. Maheshwari K. S. Rajan |
| author_sort | S. Srivastava |
| collection | DOAJ |
| description | Recent years has seen an increase in the work done on indoor data mapping and modeling. The standard data models provide different ways to store and access the indoor data but the way it is done is specific to the domain in which they are used. Although models like IFC, CityGML and IndoorGML provides rich functionality, the widespread availability of indoor data is not in these formats. This paper presents a step by step methodology to convert indoor building data of existing buildings, represented in architectural drawings into a topologically consistent and semantically rich indoor spatial model. The workflow presented consists of extracting relevant geometric entities from CAD drawings, assessing their topological relationships, using it to derive semantic information of spaces and making the data available in the form of IndoorGML. Since the current IndoorGML features lack the capability to store relevant semantic information, a semantic extension to IndoorGML is also proposed. The extraction of primitive spatial elements in rectilinear buildings like walls and doors are considered for the work presented in this paper. Development of a toolkit which implements this methodology in a seamless manner is work in progress and would incorporate extraction of complex spatial elements like staircases, ramps, curvilinear walls and windows, which is out of scope of the current work presented in this paper. |
| first_indexed | 2024-04-13T14:07:51Z |
| format | Article |
| id | doaj.art-b7e7ab9f93e24e04be1fbe76b99026f8 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T14:07:51Z |
| publishDate | 2018-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-b7e7ab9f93e24e04be1fbe76b99026f82022-12-22T02:43:51ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-09-01XLII-459159510.5194/isprs-archives-XLII-4-591-2018TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANSS. Srivastava0N. Maheshwari1K. S. Rajan2Lab for Spatial Informatics, IIIT Hyderabad, IndiaLab for Spatial Informatics, IIIT Hyderabad, IndiaLab for Spatial Informatics, IIIT Hyderabad, IndiaRecent years has seen an increase in the work done on indoor data mapping and modeling. The standard data models provide different ways to store and access the indoor data but the way it is done is specific to the domain in which they are used. Although models like IFC, CityGML and IndoorGML provides rich functionality, the widespread availability of indoor data is not in these formats. This paper presents a step by step methodology to convert indoor building data of existing buildings, represented in architectural drawings into a topologically consistent and semantically rich indoor spatial model. The workflow presented consists of extracting relevant geometric entities from CAD drawings, assessing their topological relationships, using it to derive semantic information of spaces and making the data available in the form of IndoorGML. Since the current IndoorGML features lack the capability to store relevant semantic information, a semantic extension to IndoorGML is also proposed. The extraction of primitive spatial elements in rectilinear buildings like walls and doors are considered for the work presented in this paper. Development of a toolkit which implements this methodology in a seamless manner is work in progress and would incorporate extraction of complex spatial elements like staircases, ramps, curvilinear walls and windows, which is out of scope of the current work presented in this paper.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/591/2018/isprs-archives-XLII-4-591-2018.pdf |
| spellingShingle | S. Srivastava N. Maheshwari K. S. Rajan TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS |
| title_full | TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS |
| title_fullStr | TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS |
| title_full_unstemmed | TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS |
| title_short | TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS |
| title_sort | towards generating semantically rich indoorgml data from architectural plans |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/591/2018/isprs-archives-XLII-4-591-2018.pdf |
| work_keys_str_mv | AT ssrivastava towardsgeneratingsemanticallyrichindoorgmldatafromarchitecturalplans AT nmaheshwari towardsgeneratingsemanticallyrichindoorgmldatafromarchitecturalplans AT ksrajan towardsgeneratingsemanticallyrichindoorgmldatafromarchitecturalplans |