Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-12848
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Main Title: A Proposed Ontology for Knowledge Representation in Designing Building Inspection Robot Systems
Author(s): Ma, Leyuan
Hartmann, Timo
Type: Generic Research Data
URI: https://depositonce.tu-berlin.de/handle/11303/14075
http://dx.doi.org/10.14279/depositonce-12848
License: https://choosealicense.com/licenses/gpl-3.0/
Abstract: Robotic technology is now rapidly penetrating the building inspection field and has great potential in improving inspection efficiency and accuracy. However, existing building inspection robot systems are usually designed to adapt to limited application scenarios. Making use of building inspection domain knowledge especially knowledge about building inspection tasks and physical surroundings of building defects is essential to tackle the problems of existing building inspection robot systems. To support knowledge sharing between building inspection and robotics domains and collaborative design processes, a high-level shared ontology is developed in this study to formalize the knowledge that is relevant to the design of a building inspection robot system. It contains two main domain ontology models including a Robot System Model and a Building Inspection Model.
Subject(s): ontology
robot design
knowledge representation
building inspection robot system
Issue Date: 14-Dec-2021
Date Available: 4-Jan-2022
Language Code: en
DDC Class: 692 Bauhilfstechniken
624 Ingenieurbau
001 Wissen
TU Affiliation(s): Fak. 6 Planen Bauen Umwelt » Inst. Bauingenieurwesen » FG Systemtechnik baulicher Anlagen
Appears in Collections:Technische Universit├Ąt Berlin » Research Data

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