On spatial database integration

Devogèle, Thomas; Parent, Christine; Spaccapietra, Stefano

doi:10.1080/136588198241824

Cited by 166 publications

(86 citation statements)

References 9 publications

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“…Not that data are not available, there is a huge amount of geographical data stored in different places among multiple jurisdictions and in different formats, but data reuse and sharing for disaster response are daunting tasks because of the heterogeneity of existing systems in terms of data modeling concepts, data encoding techniques and storage structures, etc. [12].…”

Section: Introductionmentioning

confidence: 99%

Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response

Zhang

Zhao

2013

IJGI

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While OGC's WFS facilitates disseminating heterogeneous spatial data over the Web and allows feature-level geospatial information sharing and synchronization, performance issues challenge the efficient and effective utilization of WFS for disaster response. Literature shows that obtaining spatial information becomes very slow when querying WFS systems from large geospatial databases over the Internet. Solutions on how to improve the WFS system performance so that spatial data can be delivered to disaster responders within a reasonable amount of time are needed. This paper proposes a parallel approach based on Voronoi diagram indexing and data/task parallelism for improving the query performance of WFS systems for disaster applications. Experimental results show that the parallel approach can significantly improve the response time needed to process the spatial queries from a massive volume of spatial data for disaster response.

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Section: Introductionmentioning

confidence: 99%

Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response

Zhang

Zhao

2013

IJGI

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“…For example, a provincial government cannot further integrate and analyze these cadastral data stored in different places (each city) and in different formats because of the heterogeneity of these cadastral information systems in terms of data modeling concepts, data encoding techniques and storage structures, etc. (Devogele et al, 1998;Zhang et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Modeling Cadastral Spatial Features Based on Geography Markup Language in GIS: A Case Study in Shanghai

Tong¹

2005

J ENV INFORM

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ABSTRACT. Significant progresses have been made in the establishment of cadastre databases in developing countries and the use of cadastre as a base to the development of land information systems based on Geographic Information System (GIS). How to interoperate and share these homogenous data is still a big problem in the applications of cadastral databases. This paper presents a GML (Geography Markup Language) approach to model cadastral spatial features for data interoperability and sharing. The advantages of GML in data interoperability are that (1) it provides an open and standard way to share and interoperate spatial data, and (2) it enables on-line and variety of spatial data interoperability on the Web. The cadastral spatial feature models are first defined based on geography markup language. An application schema is then defined, in which the cadastral features are described as CityModel, StreetModel, BlockModel, LandModel and BuildingModel, and the relationships between them are defined as CityMember, StreetMember, BlockMember and Landmember. The creation of a GML document is discussed in details. Furthermore, a GML-based cadastral WebGIS system is developed based on Java, Document Object Model (DOM) and Simple Application Interface for XML (SAX), and the implementation of the system is illustrated through a case study, which shows the feasibility of the proposed spatial feature models and data interoperability based on GML.

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“…If the two layers are combined, the objects may be redundant in the resulting data set. However, integration of these redundant objects is necessary to control the resulting layer accuracy (Chrisman 2001) and to integrate complementary aspatial descriptions of some phenomena (Devogele et al 1998). By extension, homologous geometries are defined as geometries of homologous objects.…”

Section: Introductionmentioning

confidence: 99%

A New Merging Process for Data Integration Based on the Discrete Fréchet Distance

Devogèle

2002

Advances in Spatial Data Handling

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The overlay process is currently one of the main computational solutions used to integrate several data layers from different sources. Unfortunately, it is problematic when trying to overlay many layers. This leads to several geometric problems such as the management of sliver polygons. This paper proposes a new merging process to complement the vector overlay for data integration of several layers. This process, based on measures derived from the Fréchet distance, matches common points (either lines or polygons). It also merges an ordered set of pairs of matching points (vertices) into a single geometry.

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On spatial database integration

Cited by 166 publications

References 9 publications

Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response

Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response

Modeling Cadastral Spatial Features Based on Geography Markup Language in GIS: A Case Study in Shanghai

A New Merging Process for Data Integration Based on the Discrete Fréchet Distance

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