A Study on the Development of Indoor Spatial Data Model Using CityGML ADE

Kang, Hye Young; Hwang, Jung Rae; Lee, Jiyeong

doi:10.12672/ksis.2013.21.2.011

Cited by 7 publications

(4 citation statements)

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“…Another work focusing on enhancing CityGML for interior features is the Indoor ADE developed in Korea [48][49][50]. This ADE provides two feature models extending the Building module: Indoor Space Feature Model and Indoor Facility Feature Model.…”

Section: Supporting Applicationsmentioning

confidence: 99%

CityGML Application Domain Extension (ADE): overview of developments

Biljecki

Kumar

Nagel³

2018

Open geospatial data, softw. stand.

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The Application Domain Extension (ADE) is a built-in mechanism of CityGML to augment its data model with additional concepts required by particular use cases. The goal of this paper is to provide an overview of the ADE mechanism and a literature review of developments since its introduction a decade ago. The discovery of publications found that currently there are 44 ADEs supporting a wide range of applications, but also application-agnostic purposes such as harmonisation with national geographic information standards. We hope this paper to double as a reference material for the developers of new ADEs.

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Section: Supporting Applicationsmentioning

confidence: 99%

CityGML Application Domain Extension (ADE): overview of developments

Biljecki

Kumar

Nagel³

2018

Open geospatial data, softw. stand.

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“…In all indoor spaces, there is an entrance for outdoor use, which is used as an anchor node to connect the indoor and outdoor areas [15]. Therefore, the TRM was developed not at the data level but at the application service level [16].…”

Section: Previous Studiesmentioning

confidence: 99%

Development of Data Fusion Method Based on Topological Relationships Using IndoorGML Core Module

2018

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Geospatial datasets are currently constructed, managed, and utilized individually according to the spatial scale of the real world, such as the ground/surface/underground or indoor/outdoor, as well the particular purpose of the geospatial data used for location-based services. In addition, LBS applications use an optimal data model and data format according to their particular purpose, and thus, various datasets exist to represent the same spatial features. Such duplicated geospatial datasets and geographical feature-based GIS data cause serious problems in the financial area, compatibility issues among LBS systems, and data integration problems among the various geospatial datasets generated independently for different systems. We propose a geospatial data fusion model called the topological relation-based data fusion model (TRDFM) using topological relations among spatial objects in order to integrate different geospatial datasets and different data formats. The proposed model is a geospatial data fusion model implemented in a spatial information application and is used to directly provide spatial information-based services without data conversion or exchange of geometric data generated by different data models. The proposed method was developed based on an extension of the AnchorNode concept of IndoorGML. The topological relationships among spatial objects are defined and described based upon the basic concept of IndoorGML. This paper describes the concept of the proposed TRDFM and shows an experimental implementation of the proposed data fusion model using commercial 3D GIS software. Finally, the limitations of this study and areas of future research are summarized.

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“…OGC (Open Geospatial Consortium) CityGML (OGC, 2012), IndoorGML (OGC, 2010;Li and Lee, 2013) , Kang et al(2013) CityGML .…”

Section: 관련연구unclassified

“…CityGML . Kang et al(2013) , CityGML Benjamin et al(2009), Kemec et al(2012) Benjamin et al(2009 4 CityGML . ,…”

Section: 실내공간 데이터 모델mentioning

confidence: 99%

A Study on the LOD(Level of Detail) Model for Applications based on Indoor Space Data

Kang¹,

Lee²

2014

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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As the interest in indoor space increases, the demands for various services based on indoor space is increasing. With the demands, to construct spatial information for indoor space is also required, but there is not defined the LOD(Level of Detail) for indoor spatial data. Therefore, in this paper we classified data for indoor space data construction, and then we defined the accuracy and detail about the level of detail to provide suitable application services according to the type and representation method of each data. Most previous researches are focus on the geometrical representation, but in this paper we define a indoor LOD model based on type and representation method of data. In addition, we present applicable services with proposed LOD model and suggest a guideline for construction and application of indoor space.

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A Study on the Development of Indoor Spatial Data Model Using CityGML ADE

Cited by 7 publications

References 0 publications

CityGML Application Domain Extension (ADE): overview of developments

CityGML Application Domain Extension (ADE): overview of developments

Development of Data Fusion Method Based on Topological Relationships Using IndoorGML Core Module

A Study on the LOD(Level of Detail) Model for Applications based on Indoor Space Data

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