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Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth

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2017

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Ge, Mouzhi

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https://doi.org/10.1007/978-3-319-67162-8_2
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KIRIKOVA, Mārīte, ed., Kjetil NØRVÅG, ed., George A. PAPADOPOULOS, ed., Johann GAMPER, ed., Robert WREMBEL, ed., Jérôme DARMONT, ed., Stefano RIZZI, ed.. New Trends in Databases and Information Systems : ADBIS 2017 Short Papers and Workshops. Cham: Springer International Publishing, 2017, pp. 12-20. Communications in Computer and Information Science. 767. eISSN 1865-0929. ISBN 978-3-319-67161-1. Available under: doi: 10.1007/978-3-319-67162-8_2

Zusammenfassung

The increasing availability of enriched geospatial data has opened up a new domain and enables the development of more sophisticated location-based services and applications. However, this development has also given rise to various data quality problems as it is very hard to verify the data for all real-world entities contained in a dataset. In this paper, we propose ARCI, a relative quality indicator which exploits the vast availability of spatio-textual datasets, to indicate how confident a user can be in the correctness of a given dataset. ARCI operates in the absence of ground truth and aims at computing the relative quality of an input dataset by cross-referencing its entries among various similar datasets. We also present an algorithm for computing ARCI and we evaluate its performance in a preliminary experimental evaluation using real-world datasets.

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21th East European Conference on Advances in Databases and Information Systems : ADBIS 2017, 24. Sept. 2017 - 27. Sept. 2017, Nicosia, Cyprus
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ISO 690GE, Mouzhi, Theodoros CHONDROGIANNIS, 2017. Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth. 21th East European Conference on Advances in Databases and Information Systems : ADBIS 2017. Nicosia, Cyprus, 24. Sept. 2017 - 27. Sept. 2017. In: KIRIKOVA, Mārīte, ed., Kjetil NØRVÅG, ed., George A. PAPADOPOULOS, ed., Johann GAMPER, ed., Robert WREMBEL, ed., Jérôme DARMONT, ed., Stefano RIZZI, ed.. New Trends in Databases and Information Systems : ADBIS 2017 Short Papers and Workshops. Cham: Springer International Publishing, 2017, pp. 12-20. Communications in Computer and Information Science. 767. eISSN 1865-0929. ISBN 978-3-319-67161-1. Available under: doi: 10.1007/978-3-319-67162-8_2
BibTex
@inproceedings{Ge2017-09-09Asses-41136,
  year={2017},
  doi={10.1007/978-3-319-67162-8_2},
  title={Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth},
  number={767},
  isbn={978-3-319-67161-1},
  publisher={Springer International Publishing},
  address={Cham},
  series={Communications in Computer and Information Science},
  booktitle={New Trends in Databases and Information Systems : ADBIS 2017 Short Papers and Workshops},
  pages={12--20},
  editor={Kirikova, Mārīte and Nørvåg, Kjetil and Papadopoulos, George A. and Gamper, Johann and Wrembel, Robert and Darmont, Jérôme and Rizzi, Stefano},
  author={Ge, Mouzhi and Chondrogiannis, Theodoros}
}
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