An Ontology Integrating the Open Standards of City Models and Internet of Things for Smart-City Applications

Huang, Chih Yuan; Chiang, Yao-Hsin; Tsai, Fuan

doi:10.1109/jiot.2022.3178903

Cited by 11 publications

(3 citation statements)

References 30 publications

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“…The connection relationships between 'State' and 'Transition' characterize the indoor movement network in IndoorGML. We defined the State-Transition relationship using the Indoorgml-lite namespace [44] in this study. Significantly, Indoorgml-lite defines both the State and Transition nodes and the 'connects' predicate, indicating the link between these nodes.…”

Section: Schema Mappingmentioning

confidence: 99%

Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus Terminal

Jang,

Yu,

Kim

2024

IJGI

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With the boom in online information, knowledge graphs like Freebase, Wikidata, and YAGO have emerged, thanks to the introduction of the RDF (Resource Description Framework). As RDF data grew, more and more spatial data was incorporated into it. While we have a lot of 2D data for outdoor spaces, mapping indoor spaces in 3D is challenging because it is expensive and time-consuming. In our research, we turned 2D blueprints into detailed 3D maps and then translated this into RDF format. We used the Jeonju Express Bus Terminal in South Korea as our test case. We made an automated tool that can turn 2D spatial data into 3D data that fits the IndoorGML standard. We also introduced terms like ‘loc’, ‘indoorgml-lite’, and ‘bloc’ to describe indoor spaces in the RDF format. Once we put our data into a GraphDB database, we could easily search for specific details and routes inside buildings. This work fills a significant gap in knowledge graphs concerning indoor spaces. However, the production of large-scale data across varied areas remains a challenge, pointing towards future research directions for more comprehensive indoor spatial information systems.

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Section: Schema Mappingmentioning

confidence: 99%

Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus Terminal

Jang,

Yu,

Kim

2024

IJGI

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“…In an ontology, classes are used to categorize and organize entities within a domain. The hierarchy of classes can form a classification system that defines hierarchical relationships between entities [36]. Properties are divided into object properties and data properties [37].…”

Section: Structure Of Fe Ontologymentioning

confidence: 99%

A Semantic Approach to Dynamic Path Planning for Fire Evacuation through BIM and IoT Data Integration

Pang,

Shi,

Jiang

et al. 2024

Advances in Civil Engineering

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Fire evacuation path planning involves multiple data sources. In order to develop a dynamic planning, a comprehensive knowledge of the environment involving building information and fire development is required. This article presents a semantic approach that integrates Building Information Modeling (BIM) and Internet of Things (IoT) information to provide a data foundation for dynamic path planning. First, a fire evacuation (FE) ontology is introduced to fuse both knowledge and information relevant to dynamic path planning. Next, a dynamic knowledge graph that evolves according to the development of fire situation is instantiated based on the relevant FE ontology. Finally, to validate the feasibility of the semantic approach based on the ontology and knowledge graph, an example of application is conducted using a specific building as an example. This study provides a data foundation for more intelligent and precise decision-making in fire evacuation scenarios and offers a new approach for safety design and management in the field of construction.

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“…IoT is used in various fields today and has positive effects (HaddadPajouh et al, 2021). It is mainly used in the fields of health (Qadri et al, 2020), logistics (Günay et al, 2021), smart cities (Huang et al, 2022), agriculture (Al-Garadi et al, 2020), and industry (Manavalan & Jayakrishna, 2019). Another field where IoT technology is used is education (Zeeshan et al, 2022).…”

Section: Internet Of Things -Iotmentioning

confidence: 99%

Examining the Effects of Physical Variables in Classrooms on Students' Attention via the Internet of Things

Aydın

Göktaş

2023

Participatory Educational Research

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This study aims to examine the effects of physical variables (temperature, humidity, air quality, light, and sound) and those pertaining to the monitoring these physical variables on a group of students in terms of attention, motivation, attitudes, and perceptions of academic achievement (POA). The students were provided with a chance to monitor the physical variables through the Internet of Things (IoT) technology. This study employed a causal comparative design, which is a quantitative research method. The sample chosen by convenience sampling consisted of 262 undergraduate students from five different educational environments in the faculty of education of a large state university located in the Northeast Turkey. A prototype measuring the physical variables of the educational environments and enabling to send these to the internet was developed in the context of an IoT application, and it was ensured that the students in the five different educational environments monitored the physical variables for six weeks. Data were collected by use of the prototype created in the framework of IoT and a questionnaire. Consequently, it was concluded that the physical variables did not have significant effects on attitudes, but temperature, air quality, light, and sound had significant effects on students’ attention, motivation, and perceptions of academic achievement. Furthermore, results showed that monitoring the physical variables caused a difference in the students’ motivation, attention, attitudes, and POA.

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An Ontology Integrating the Open Standards of City Models and Internet of Things for Smart-City Applications

Cited by 11 publications

References 30 publications

Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus Terminal

Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus Terminal

A Semantic Approach to Dynamic Path Planning for Fire Evacuation through BIM and IoT Data Integration

Examining the Effects of Physical Variables in Classrooms on Students' Attention via the Internet of Things

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