Assessing the Quality of Spatio-textual Datasets in the Absence of Ground Truth
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096805" target="_blank" >RIV/00216224:14330/17:00096805 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67162-8_2" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67162-8_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67162-8_2" target="_blank" >10.1007/978-3-319-67162-8_2</a>
Alternative languages
Result language
angličtina
Original language name
Assessing the Quality of Spatio-textual Datasets in the Absence of Ground Truth
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 21st European Conference on Advances in Databases and Information Systems
ISBN
9783319671611
ISSN
1865-0929
e-ISSN
—
Number of pages
9
Pages from-to
12-20
Publisher name
Springer
Place of publication
Cham
Event location
Nicosia, Cyprus
Event date
Jan 1, 2017
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—