Extensions of GAP‐tree and its implementation based on a non‐topological data model

2008 ◽  
Vol 22 (6) ◽  
pp. 657-673 ◽  
Author(s):  
Changxiu Cheng ◽  
Fangqu Niu ◽  
Jun Cai ◽  
Yanlu Zhu
Keyword(s):  
Data Model ◽  
Topological Data

scholarly journals Development of an Omnidirectional-Image-Based Data Model through Extending the IndoorGML Concept to an Indoor Patrol Service

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Hyo-jin Jung ◽  
Jiyeong Lee
Keyword(s):  
Data Model ◽  
Indoor Navigation ◽  
Location Based Services ◽  
Indoor Location ◽  
Indoor Space ◽  
Omnidirectional Image ◽  
Space Data ◽  
Omnidirectional Images ◽  
Indoor Spaces ◽  
Topological Data

Different indoor representation methods have been studied for their ability to provide indoor location-based services (LBS). Among them, omnidirectional imaging is one of the most typical and simple methods for representing an indoor space. However, a georeferenced omnidirectional image cannot be used for simple attribute searches, spatial queries, and spatial awareness analyses. To perform these functions, topological data are needed to define the features of and spatial relationships among spatial objects including indoor spaces as well as facilities like CCTV cameras considered in patrol service applications. Therefore, this study proposes an indoor space application data model for an indoor patrol service that can implement functions suited to linking indoor space data and service objects. In order to do this, the study presents a method for linking data between omnidirectional images representing indoor spaces and topological data on indoor spaces based on the concept of IndoorGML. Also, we conduct an experimental implementation of the integrated 3D indoor navigation model for patrol service using GIS data. Based on the results, we evaluate the benefits of using such a 3D data fusion method that integrates omnidirectional images with vector-based topological data models based on IndoorGML for providing indoor LBS in built environments.

scholarly journals A Multidimensional Cadastral Topological Data Model: Design and Implementation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 931-943 ◽  
Author(s):  
Yuan Ding ◽  
Yingbao Yang ◽  
Changbin Wu ◽  
Hua Shao ◽  
Hao Li
Keyword(s):  
Data Model ◽  
Model Design ◽  
Design And Implementation ◽  
Topological Data

Spatial and Topological Data Models

2011 ◽  
pp. 360-382
Author(s):  
Ying Deng ◽  
Paeter Revesz
Keyword(s):  
Traffic Control ◽  
Data Model ◽  
Query Language ◽  
Development Planning ◽  
Data Models ◽  
Environment Analysis ◽  
Business Applications ◽  
Region Data ◽  
Control Decision ◽  
Topological Data

Spatial and topological data models are increasingly important in business applications such as urban development planning, transportation and traffic control, decision support in agriculture, pollution and environment analysis, fire and flood prevention, etc. that require handling spatial and topological data more efficiently and more effectively than older models, for example the relational data model. In this survey we compare several alternative spatial and topological data models: the Spaghetti Data Model, the Vague Region Data Model, the Topological Data Model, Worboys’ Spatiotemporal Data Model and the Constraint Data Model. We first describe how spatial and/or topological data are represented and give examples for each data model. We also illustrate by examples the use of an appropriate query language for each data model.

scholarly journals Component-based topological data model for three-dimensional geology modeling

2005 ◽  
Vol 8 (2) ◽  
pp. 122-127
Author(s):  
Hou Enke ◽  
Wu Lixin ◽  
Wu Yuhua ◽  
Ju Tianyi
Keyword(s):  
Data Model ◽  
Three Dimensional ◽  
Topological Data

scholarly journals ESTABLISHING INDOOR SUBSPACING REQUIREMENTS OF AN LOD (LEVEL OF DETAIL) MODEL FOR GENERATING NETWORK-BASED TOPOLOGICAL DATA

2021 ◽  
Vol XLVI-4/W6-2021 ◽  
pp. 97-102
Author(s):  
A. R. C. Claridades ◽  
H. S. Choi ◽  
J. Lee
Keyword(s):  
Data Model ◽  
Network Models ◽  
Initial Study ◽  
Urban Environments ◽  
Indoor Navigation ◽  
Level Of Detail ◽  
Geometric Aspect ◽  
Space Partition ◽  
Topological Relationships ◽  
Topological Data

Abstract. Nowadays, the complexity of structures in urban environments and the interest in location-based applications increase simultaneously. Along with this is the rise in demand for the firm establishment of data models representing these spaces. Establishing network models that portray topological relationships of space have strengthened support for navigation applications. However, researchers have revisited the limitations of existing standards. As analogous standards have specifications for expressing space at various scales, most have focused on outdoor space or the geometric aspect. Hence, this paper proposes subspacing requirements for a Level of Detail (LOD) model for network-based topological data. We examine various constraints that influence space partition and align these with various application cases for indoor navigation. Through these, we investigate appropriate space subdivision approaches for each level according to applicable constraints and recommended applications. This study poses as an initial study towards establishing a general framework for implementing a 3D hierarchical network-based topological data model.

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