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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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PABench: Designing a Taxonomy and Implementing a Benchmark for Spatial Entity Matching [PDF]
Bilal Berjawi [LIRIS] , Fabien Duchateau [LIRIS] , Franck Favetta [LIRIS] , Maryvonne Miquel [LIRIS] , Robert Laurini [LIRIS]
2/2015
Dans The Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing'2015), Lisbon. pp. 7-16. ISBN 978-1-61208-048-2. ISSN 2308-393X.

HAL : hal-01344652

Abstract

The tremendous increase of data sources containing spatial information is bound up with the diversity of geospatial applications such as location-based services (LBS) and global positioning systems. LBS providers use maps to locate spatial entities referring to points of interests (POI), for instance restaurants or locations of events. In our study, we specifically focus on places LBS for tourists. The multiplication of these providers has an impact on the quality of data: spatial entities referring to the same POI may include spatial and terminological properties with incomplete, inconsistent, inaccurate or even wrong data. Thus, entity matching approaches have been proposed to discover correspondences between spatial entities, and experimental validations are traditionally performed to demonstrate the performance of these approaches in terms of effectiveness and efficiency. However, the datasets used in these experiments are rarely available, thus limiting their reuse and a fair comparison between the proposed approaches. This paper introduces PABench, a benchmark for spatial entity matching, which will be available for researchers to assess their algorithms. Our benchmark includes a taxonomy of observed differences, inconsistencies, errors, which enables the characterization of different LBS providers. PABench can provide a complete and accurate evaluation of the different aspects of spatial entity matching approaches, and also facilitate an understanding of their weaknesses and abilities with respect to spatial integration. This paper provides a conceptual platform to enable LBS interoperability.

BibTex

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@InProceedings{Liris-7017,
  title         = {{PABench: Designing a Taxonomy and Implementing a 
    Benchmark for Spatial Entity Matching}},
  author        = {Bilal {Berjawi} and Fabien {Duchateau} and Franck 
    {Favetta} and Maryvonne {Miquel} and Robert {Laurini}},
  year          = {2015},
  month         = feb,
  booktitle     = {The Seventh International Conference on Advanced 
    Geographic Information Systems, Applications, and Services 
    (GEOProcessing'2015)},
  pages         = {7-16}, 
  isbn          = {978-1-61208-048-2}, 
  issn          = {2308-393X}, 
  language      = {en},
  url           = {http://liris.cnrs.fr/publis/?id=7017}
}