A WFS-based mediation system for GIS interoperability

Boucelma, Omar; Essid, Mehdi; Lacroix, Zoé

doi:10.1145/585147.585153

Cited by 30 publications

(14 citation statements)

References 8 publications

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“…Mediation systems reduce the coupling between data integration systems and data sources, keeping data redundancy and data synchronizations at a minimal level. In semantic data integration, mediation based systems are mostly used and is demonstrated in [3], [9], and [15]. Another category of Mediation system, MIX [2], for example, uses XML based mediation architecture to achieve spatial data interoperability taking into consideration the flexibility and extensibility of XML.…”

Section: Data Management Methods In Scientific Communitymentioning

confidence: 99%

HIDE -- A Web-based Hydrological Integrated Data Environment

Yang

Chen

Zhou

et al. 2007

Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Com

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One of the challenging tasks in data management and interoperation is efficient data integration. Data integration in scientific community is affected by heterogeneities of the data and diversity of the participating data sources. We have developed a webbased data integration framework, HIDE, for hydrology datasets and data sources. The system is built on an extended XML mediator architecture with modular methodology and software engineering practices of simplicity, extensibility and flexibility.

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Section: Data Management Methods In Scientific Communitymentioning

confidence: 99%

HIDE -- A Web-based Hydrological Integrated Data Environment

Yang

Chen

Zhou

et al. 2007

Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Com

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“…Wiederhold (1999), Neiling and Lenz (2000), and Boucelma et al (2002) suggested an architecture of wrappers and mediators for integration systems. In their approach, wrappers extract data from heterogeneous sources and transform the extracted data to a uniform format.…”

Section: Related Workmentioning

confidence: 99%

Location‐based algorithms for finding sets of corresponding objects over several geo‐spatial data sets

Safra

Kanza

Sagiv

et al. 2010

International Journal of Geographical Information Science

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When integrating geo-spatial data sets, a join algorithm is used for finding sets of corresponding objects (i.e., objects that represent the same real-world entity). This article investigates location-based join algorithms for integration of several data sets. First, algorithms for integration of two data sets are presented and their performances, in terms of recall and precision, are compared. Then, two approaches for integration of more than two data sets are described. In one approach, all the integrated data sets are processed simultaneously. In the second approach, a join algorithm for two data sets is applied sequentially, either in a serial manner, where in each join at least one of the joined data sets is a single source, or in a hierarchical manner, where two join results can be joined. For the two approaches, join algorithms are given. The algorithms are designed to perform well even when location of objects are imprecise and each data set represents only some of the real-world entities. Results of extensive experiments with the different approaches are provided and analyzed. The experiments show the differences, in accuracy and efficiency, between the approaches, under different circumstances. The results also show that all our algorithms have much better accuracy than applying the commonly used one-sided nearest-neighbor join.

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“…[3], [4] and [6] stand out. Boucelma et al, [3] present a mediation system that addresses the integration of GIS data and tools, following a global-as-view approach.…”

Section: Related Workmentioning

confidence: 99%

A semantic index structure for integrating OGC services in a spatial search engine

Márquez¹,

Córcoles²,

Quintanilla

2010

2010 IEEE Conference on Open Systems (ICOS 2010)

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There are a huge number of Spatial Data Infrastructures (SDIs). This has several advantages, but it is really difficult for a user to know what spatial service could satisfy his/her needs. For this reason, the SDI community now demands an approach to integrate SDIs and relate them with semantic features. In order to contribute to a solution, in this paper we propose an approach to construct an ad-hoc semantic-index structure (ontology) to relate political divisions, non-political place names and layers offered by OGC services. In this way we can integrate spatial OGC services with semantic concepts. Then, a search engine allows users to find OGC services using semantic criteria.

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A WFS-based mediation system for GIS interoperability

Cited by 30 publications

References 8 publications

HIDE -- A Web-based Hydrological Integrated Data Environment

HIDE -- A Web-based Hydrological Integrated Data Environment

Location‐based algorithms for finding sets of corresponding objects over several geo‐spatial data sets

A semantic index structure for integrating OGC services in a spatial search engine

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