A spatiotemporal extension for dealing with moving objects with extent in Oracle 11g

Matos, Luís M. O.; Moreira, José Manuel; Carvalho, Alexandre Valle de

doi:10.1145/2340416.2340417

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…The main advantage of this architecture is to enable a fast development of new services (Matos, Moreira, & Carvalho, 2012).…”

Section: Architecturementioning

confidence: 99%

“… The ADTs based data models can be smoothly integrated into ORDBMSs (Matos et al, 2012) and the most well-known approach for the representation of spatiotemporal data in databases, proposed in (R. H. Güting et al, 2000), uses ADTs.…”

Section: The Spatiotemporal Database Perspectivementioning

confidence: 99%

“…In (R. H. Güting et al, 2000) the authors propose an abstract data model, a system of data types and appropriate operations forming an algebra that can be embedded in a query language, that sets a solid foundation for implementing a spatiotemporal DBMS extension. According to the authors in (Matos et al, 2012), an interesting property of this model is that complex data types are constructed from simpler ones, which is particularly appropriate for implementation on extensible database architectures.…”

Section: The Spatiotemporal Database Perspectivementioning

confidence: 99%

“…In general, these extensions focus on specific applications and its implementation is not trivial. According to the authors in (Matos et al, 2012), these facts seem to indicate that the management of spatiotemporal data, in standard DBMSs, is a relevant issue and the existence of general purpose spatiotemporal extensions would be useful in many domains of knowledge.…”

Section: Spatiotemporal Ordbmssmentioning

confidence: 99%

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A Framework for the Management of Deformable Moving Objects

Duarte

Dias

Moreira

2018

Lecture Notes in Geoinformation and Cartography

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There is an emergence of a growing number of applications and services based on spatiotemporal data in the most diverse areas of knowledge and human activity. The Internet of Things (IoT), the emergence of technologies that make it possible to collect information about the evolution of real world phenomena and the widespread use of devices that can use the Global Positioning System (GPS), such as smartphones and navigation systems, suggest that the volume and value of these data will increase significantly in the future. It is necessary to develop tools capable of extracting knowledge from these data and for this it is necessary to manage them: represent, manipulate, analyze and store, in an efficient way. But this data can be complex, its management is not trivial and there is not yet a complete system capable of performing this task. Works on moving points, that represent the position of objects over time, are frequent in the literature. On the contrary there are much less solutions for the representation of moving regions, that represent the continuous changes in position, shape and extent of objects over time, e.g., storms, fires and icebergs. The representation of the evolution of moving regions is complex and requires the use of more elaborate techniques, e.g., morphing and interpolation techniques, capable of producing realistic and geometrically valid representations. In this dissertation we present and propose a data model for moving objects (moving points and moving regions), in particular for moving regions, based on the concept of mesh and compatible triangulation and rigid interpolation methods. This model was implemented in a framework that is not client or application dependent and we also implemented a spatiotemporal extension for PostgreSQL that uses this framework to manipulate and analyze moving objects, as a proof of concept that our framework works with real applications. The tests' results using real data, obtained from satellite images of the evolution of 2 icebergs over time, show that our data model works. Besides the results obtained one important contribution of this work is the development of a basic framework for moving objects that can be used as a basis for further investigation in this area. A few problems still remain that must be further studied and analyzed, in particular, the ones that were found when using the compatible triangulation and rigid interpolation methods with real data.

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“…The main advantage of this architecture is to enable a fast development of new services (Matos, Moreira, & Carvalho, 2012).…”

Section: Architecturementioning

confidence: 99%

Section: The Spatiotemporal Database Perspectivementioning

confidence: 99%

Section: The Spatiotemporal Database Perspectivementioning

confidence: 99%

Section: Spatiotemporal Ordbmssmentioning

confidence: 99%

See 2 more Smart Citations

A Framework for the Management of Deformable Moving Objects

Duarte

Dias

Moreira

2018

Lecture Notes in Geoinformation and Cartography

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“…Domain ontology [24] identifies the objects, events, Last phase is to translate the conceptual spatio-temporal model to a physical database by mapping the corresponding spatial, temporal and spatio-temporal entities into relations and constraints must be enforced.…”

Section: Conceptual Framework For Spatio-temporal Databasesmentioning

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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