Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Coetzee, Serena; Bishop, Judith

doi:10.1080/13658810802084806

Cited by 17 publications

(18 citation statements)

References 14 publications

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“…The original address can be divided into some address elements, t means that the address element can be identified and x means that the address cannot be identified. We can calculate the matching degree from Equation (1).…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…The proposed methods are intended to: (1) adapt to the complexity of Chinese text; (2) account for the topological relationships among address elements; and (3) improve the efficiency and accuracy of traditional geocoding algorithms. In the remainder of this paper, we first describe the study area and data in section 2, followed by the optimized method in detail, including the structure of the address model and the address standardization and address matching process in Section 3.…”

Section: Study Areamentioning

confidence: 99%

“…Increasing amounts of various types of data are being collected in various domains with the coming era of big data and the rapid development and widespread application of Geographical Information Systems (GISs) [1]. It appears to be an urgent necessity to possess the ability to assign coordinates to these data and continue to pursue deeper research into big data from the spatial perspective [2].…”

Section: Introductionmentioning

confidence: 99%

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Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China

Qin

Ren

et al. 2016

IJGI

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Abstract:With the coming era of big data and the rapid development and widespread applications of Geographical Information Systems (GISs), geocoding technology is playing an increasingly important role in bridging the gap between non-spatial data resources and spatial data in various fields. However, Chinese geocoding faces great challenges because of the complexity of the address string format in Chinese, which contains no delimiters between Chinese words, and the poor address management resulting from the existence of multiple address authorities spread among different governmental agencies. This paper presents a geocoding service based on an optimized Chinese address matching method, including address modeling, address standardization and address matching. The address model focuses on the spatial semantics of each address element, and the address standardization process is based on an address tree model. A geocoding service application is implemented in practice using a large quantity of data from Shenzhen Municipality. More than 1,460,000 data records were used to test the geocoding service, and good matching rates were achieved with good adaptability and intelligence.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China

Qin

Ren

et al. 2016

IJGI

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“…The other option (b) is to have a distributed, i.e. federated, architecture (Coetzee and Bishop, 2009), in which each department has its own database and where the databases are connected to a central data and document catalog. This later option implicates that in each department sits at least one person that is responsible for data and documents at the department level.…”

Section: Context Of Implementationmentioning

confidence: 99%

BUILDING A GEOGRAPHIC DATA REPOSITORY FOR URBAN RESEARCH WITH FREE SOFTWARE – LEARNING FROM Observatorio.CEDEUS.cl

Steiniger

Fuente

Fuentes

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The recent trend towards open data and open science as well as a demand for holistic and interdisciplinary research requires platforms that allow the distribution and exchange of research data, including geographic information. While the requirements and benefits of data exchange are widely discussed, there are few proposals on how to implement data platforms that not only permit the exchange of research data among researchers, but also permit to distribute research results and data to the interest public. We elaborate what points are important for implementing a (geographic) data repository and propose then to adopt the concept of Spatial Data Infrastructures (SDI) as a solution for the implementation of research data repositories. We present as a case study the geographic data and document repository of the Chilean research Centre on Sustainable Urban Development (CEDEUS), the CEDEUS Observatory. Besides the infrastructure to host and distribute data, communication tools are an important component of such a data repository service. For this case study we analyse which things have worked well and which things have not worked well based on the experiences collected during three years of operation. We close with some recommendations for the implementation of data repositories for research.

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“…The data grid approach deviates from the centralized approach in the other models and this makes it suitable for SDIs that are currently evolving towards more distribution and more dynamism. The evaluation showed that where a large number of organizations with multiple heterogeneous address datasets are involved with no single organization tasked with the management of a national address database, the data grid approach has some unique features that make it an attractive alternative to the other models [14].…”

Section: Introductionmentioning

confidence: 99%

Reference model for a data grid approach to address data in a dynamic SDI

Coetzee

2011

Geoinformatica

Self Cite

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A grid is concerned with the integration, virtualization, and management of services and resources in a distributed, heterogeneous environment that supports virtual organizations across traditional administrative and organizational domains. Spatial data infrastructures (SDI) aim to make spatial data from multiple sources available and usable to as wide an audience as possible. The first SDIs of the 1990s followed a top-down approach with the focus on data production and centralization. In recent years, SDIs have seen a huge increase in the number of participants, necessitating a more dynamic bottom-up approach. While much research has been done on web services and SDIs, research on the use of data grids for SDIs is limited. In this paper an emergency response scenario is presented to illustrate how the data grid approach can be used as decentralized platform for address data in a dynamic SDI. Next, Compartimos (Spanish for 'we share') is presented, a reference model for an address data grid in an SDI based on the Open Grid Services Architecture (OGSA). Compartimos identifies the essential components and their capabilities required for a decentralized address data grid in a dynamic SDI. It deviates from the current centralized approach, allows data resources to come and go and node hosts to grow and shrink as necessary.

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Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Cited by 17 publications

References 14 publications

Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China

Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China

BUILDING A GEOGRAPHIC DATA REPOSITORY FOR URBAN RESEARCH WITH FREE SOFTWARE – LEARNING FROM Observatorio.CEDEUS.cl

Reference model for a data grid approach to address data in a dynamic SDI

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