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id caadria2020_154
authors Stojanovic, Vladeta, Hagedorn, Benjamin, Trapp, Matthias and Döllner, Jürgen
year 2020
title Ontology-Driven Analytics for Indoor Point Clouds
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 537-546
summary Automated processing, semantic enrichment and visual analytics methods for point clouds are often use-case specific for a given domain (e.g, for Facility Management (FM) applications). Currently, this means that applicable processing techniques, semantics and visual analytics methods need to be selected, generated or implemented by human domain experts, which is an error-prone, subjective and non-interoperable process. An ontology-driven analytics approach can be used to solve this problem by creating and maintaining a Knowledge Base, and utilizing an ontology for automatically suggesting optimal selection of processing and analytics techniques for point clouds. We present an approach of an ontology-driven analytics concept and system design, which supports smart representation, exploration, and processing of indoor point clouds. We present and provide an overview of high-level concept and architecture for such a system, along with related key technologies and approaches based on previously published case studies. We also describe key requirements for system components, and discuss the feasibility of their implementation within a Service-Oriented Architecture (SOA).
keywords Knowledge Base; Point Clouds; Semantic Enrichment; Service-Oriented Architecture; Ontology
series CAADRIA
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100%; open Armeni, I, Sax, S, Zamir, AR and Savarese, S (2017) Find in CUMINCAD Joint 2d-3d-semantic data for indoor scene understanding , arXiv preprint arXiv:1702.01105

100%; open Armeni, I, Sener, O, Zamir, AR, Jiang, H, Brilakis, I, Fischer, M and Savarese, S (2016) Find in CUMINCAD 3d semantic parsing of large-scale indoor spaces , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1534-1543

100%; open Borrmann, A (2010) Find in CUMINCAD From GIS to BIM and back again--A Spatial Query Language for 3D building models and 3D city models , 5th international 3D geoinfo conference, BerlinV

100%; open Che, E, Jung, J and Olsen, MJ (2019) Find in CUMINCAD Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review , Sensors, 19(4), p. 810

100%; open Cursi, S, Simeone, D and Coraglia, UM (2017) Find in CUMINCAD An ontology-based platform for BIM semantic enrichment , Kepczynska-Walczak, Anetta (2019) Building Information Modelling Implementation in Progress, Proceedings of the 35th eCAADe Conference, pp. 649-656

100%; open Dllner, J, Hagedorn, B and Klimke, J (2012) Find in CUMINCAD Server-based rendering of large 3D scenes for mobile devices using G-buffer cube maps , Proceedings of the 17th International Conference on 3D Web Technology, pp. 97-100

100%; open Emgard, K and Zlatanova, S (2007) Find in CUMINCAD Design of an integrated 3D information model , Urban and regional data management: UDMS annual, pp. 143-156

100%; open Florio, A, Trapp, M and Dllner, J (2019) Find in CUMINCAD Semantic-driven Visualization Techniques for Interactive Exploration of 3D Indoor Models , 2019 23rd International Conference Information Visualisation (IV), pp. 25-30

100%; open Haber, RB and McNabb, DA (1990) Find in CUMINCAD Visualization idioms: A conceptual model for scientific visualization systems , Visualization in scientific computing, 74, p. 93

100%; open Isikdag, U, Zlatanova, S and Underwood, J (2013) Find in CUMINCAD A BIM-Oriented Model for supporting indoor navigation requirements , Computers, Environment and Urban Systems, 41, pp. 112-123

100%; open Ma, L and Sacks, R (2016) Find in CUMINCAD A Cloud-Based BIM Platform for Information Collaboration , Proceedings of the 33rd ISARC, Auburn (USA), pp. 581-589

100%; open Nagel, C, Stadler, A and Kolbe, TH (2009) Find in CUMINCAD Conceptual requirements for the automatic reconstruction of building information models from uninterpreted 3D models , Proceedings of the Academic Track of the Geoweb 2009-3D Cityscapes Conference in Vancouver, Canada, 27-31 July 2009

100%; open Ponciano, JJ, Tr\'emeau, A and Boochs, F (2019) Find in CUMINCAD Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes , ISPRS International Journal of Geo-Information, 8(10), p. 442

100%; open Poux, F, Neuville, R, Hallot, P and Billen, R (2017) Find in CUMINCAD Model for reasoning from semantically rich point cloud data , ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, pp. 107-115

100%; open Qu, T and Sun, W (2015) Find in CUMINCAD Usage of 3D Point Cloud Data in BIM (Building Information Modelling): Current Applications and Challenges , Journal of Civil Engineering and Architecture, 9(11), pp. 1269-1278

100%; open Sacks, R, Kedar, A, Borrmann, A, Ma, L, Brilakis, I, Hthwohl, P, Daum, S, Kattel, U, Yosef, R, Liebich, T and thers, initials missing (2018) Find in CUMINCAD SeeBridge as next generation bridge inspection: overview, information delivery manual and model view definition , Automation in Construction, 90, pp. 134-145

100%; open Sadeghineko, F, Kumar, B and Chan, W (2018) Find in CUMINCAD A semantic web-based approach for generating parametric models using RDF , Workshop of the European Group for Intelligent Computing in Engineering, pp. 361-377

100%; open Savva, M, Chang, AX and Agrawala, M (2017) Find in CUMINCAD SceneSuggest: Context-driven 3D Scene Design , arXiv preprint arXiv:1703.00061

100%; open Solihin, W, Eastman, C, Lee, YC and Yang, DH (2017) Find in CUMINCAD A simplified relational database schema for transformation of BIM data into a query-efficient and spatially enabled database , Automation in Construction, 84, pp. 367-383

100%; open Stojanovic, V, Trapp, M, Dllner, J and Richter, R (2019) Find in CUMINCAD Classification of Indoor Point Clouds Using Multiviews , The 24th International Conference on 3D Web Technology, pp. 1-9

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