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@inproceedings{1381529,
author = {Ge, Mouzhi and Chondrogiannis, Theodoros},
address = {Cham},
booktitle = {Proceedings of the 21st European Conference on Advances in Databases and Information Systems},
doi = {http://dx.doi.org/10.1007/978-3-319-67162-8_2},
keywords = {spatio-textual data; data quality; relative quality},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cham},
isbn = {978-3-319-67161-1},
pages = {12-20},
publisher = {Springer},
title = {Assessing the Quality of Spatio-textual Datasets in the Absence of Ground Truth},
url = {http://cyprusconferences.org/adbis2017/},
year = {2017}
}
TY - JOUR
ID - 1381529
AU - Ge, Mouzhi - Chondrogiannis, Theodoros
PY - 2017
TI - Assessing the Quality of Spatio-textual Datasets in the Absence of Ground Truth
PB - Springer
CY - Cham
SN - 9783319671611
KW - spatio-textual data
KW - data quality
KW - relative quality
UR - http://cyprusconferences.org/adbis2017/
N2 - 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.
ER -
GE, Mouzhi a Theodoros CHONDROGIANNIS. Assessing the Quality of Spatio-textual Datasets in the Absence of Ground Truth. In \textit{Proceedings of the 21st European Conference on Advances in Databases and Information Systems}. Cham: Springer, 2017, s.~12-20. ISBN~978-3-319-67161-1. Dostupné z: https://dx.doi.org/10.1007/978-3-319-67162-8\_{}2.
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