Spatio-Temporal Data Model and Spatio-Temporal Databases

Ye, Xiaoping; Peng, Zewu; Guo, Heng

doi:10.1007/978-3-642-14959-7_5

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Chen [28] constructed an object-event-process spatiotemporal data model that effectively expressed dynamic geographical phenomena. Ye [29] designed a spatiotemporal data model based on behavioral events and presented a logical design using five categories: time, space, topic, event, and behavior cognition.…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

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Typhoons are destructive weather events. News media reports contain large amounts of typhoon information. Transforming this information into useful knowledge to provide a basis for mining typhoon knowledge and supporting disaster prevention and relief is urgently required to solve this problem. Knowledge representation can be used to address this problem, although it presents several challenges. These challenges lie in expressing the static and dynamic characteristics of typhoons and formalizing the knowledge representation method and making it suitable for machine processing. Moreover, the general Chinese time and space representation method is overly cumbersome for use in ontologies. The present study proposes an ontology-based typhoon event representation method that solves the representation problems of the typhoon static concept and dynamic features. Furthermore, it summarizes the fixed patterns of time and space in Chinese news and designs a time and space model suitable for typhoon event ontologies. From the ontology population, typhoon event ontology instances are created, and the typhoon event ontology model is applied to the analysis of typhoon processes, verifying the effectiveness of the typhoon event ontology model.

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Section: Related Workmentioning

confidence: 99%

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

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“…For example, the sequential snapshots model is the simplest spatio-temporal data model. It can be directly implemented in existing GIS software [75][76][77][78]. Nevertheless, we can observe that these models do not keep the history of the operations performed on the geographical objects.…”

Section: Level 1: Implicit Representation Of Changesmentioning

confidence: 99%

Pyramidal Framework: Guidance for the Next Generation of GIS Spatial-Temporal Models

Carré

Hamdani

2021

IJGI

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Over the last decade, innovative computer technologies and the multiplication of geospatial data acquisition solutions have transformed the geographic information systems (GIS) landscape and opened up new opportunities to close the gap between GIS and the dynamics of geographic phenomena. There is a demand to further develop spatio-temporal conceptual models to comprehensively represent the nature of the evolution of geographic objects. The latter involves a set of considerations like those related to managing changes and object identities, modeling possible causal relations, and integrating multiple interpretations. While conventional literature generally presents these concepts separately and rarely approaches them from a holistic perspective, they are in fact interrelated. Therefore, we believe that the semantics of modeling would be improved by considering these concepts jointly. In this work, we propose to represent these interrelationships in the form of a hierarchical pyramidal framework and to further explore this set of concepts. The objective of this framework is to provide a guideline to orient the design of future generations of GIS data models, enabling them to achieve a better representation of available spatio-temporal data. In addition, this framework aims at providing keys for a new interpretation and classification of spatio-temporal conceptual models. This work can be beneficial for researchers, students, and developers interested in advanced spatio-temporal modeling.

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“…Spatio-temporal data model and application development has been one of the important research area in the last two decades and various spatio-temporal models have been proposed [7,14,15]. We can categorize those models as application specific and application independent.…”

Section: Related Workmentioning

confidence: 99%

“…Spatio-temporal data [4,7] is complex in nature and sometimes it is very difficult to comprehend the actual semantics for a certain application. This information may lead to incorrect model which is unable to represent the real scenario.…”

Section: Introductionmentioning

confidence: 99%

Building Spatio-Temporal Database Model Based on Ontological Approach using Relational Database Environment

Mehmood¹,

Burney²,

Rizwan³

et al. 2017

Mehran Univ. res. j. eng. technol.

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Everything in this world is encapsulated by space and time fence. Our daily life activities are utterly linked and related with other objects in vicinity. Therefore, a strong relationship exist with our current location, time (including past, present and future) and event through with we are moving as an object also affect our activities in life. Ontology development and its integration with database are vital for the true understanding of the complex systems involving both spatial and temporal dimensions. In this paper we propose a conceptual framework for building spatio-temporal database model based on ontological approach. We have used relational data model for modelling spatio-temporal data content and present our methodology with spatio-temporal ontological accepts and its transformation into spatio-temporal database model. We illustrate the implementation of our conceptual model through a case study related to cultivated land parcel used for agriculture to exhibit the spatio-temporal behaviour of agricultural land and related entities. Moreover, it provides a generic approach for designing spatiotemporal databases based on ontology. The proposed model is capable to understand the ontological and somehow epistemological commitments and to build spatio-temporal ontology and transform it into a spatio-temporal data model. Finally, we highlight the existing and future research challenges.

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Spatio-Temporal Data Model and Spatio-Temporal Databases

Cited by 5 publications

References 8 publications

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Pyramidal Framework: Guidance for the Next Generation of GIS Spatial-Temporal Models

Building Spatio-Temporal Database Model Based on Ontological Approach using Relational Database Environment

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