<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Developments in big data technology, wireless networks, Geographic information system (GIS) technology, and internet growth has increased the volume of data at an exponential rate. Internet users are generating data with every single click. Geospatial metadata is widely used for urban planning, map making, spatial data analysis, and so on. Scientific databases use metadata for computations and query processing. Cleaning of data is required for improving the quality of geospatial metadata for scientific computations and spatial data analysis. In this paper, we have designed a data cleaning tool named as <italic>GeoWebCln</italic> to remove useless data from geospatial metadata in a user-friendly environment using the Python console of QGIS Software.</p></abstract>

Developments in big data technology, wireless networks, Geographic information system (GIS) technology, and internet growth has increased the volume of data at an exponential rate. Internet users are generating data with every single click. Geospatial metadata is widely used for urban planning, map making, spatial data analysis, and so on. Scientific databases use metadata for computations and query processing. Cleaning of data is required for improving the quality of geospatial metadata for scientific computations and spatial data analysis. In this paper, we have designed a data cleaning tool named as GeoWebCln to remove useless data from geospatial metadata in a user-friendly environment using the Python console of QGIS Software.

<italic>GeoWebCln</italic>: An Intensive Cleaning Architecture for Geospatial Metadata

Department of Computer Science and Engineering

Quaestiones Geographicae

This work is licensed under the Creative Commons Attribution 4.0 International License.

: An Intensive Cleaning Architecture for Geospatial Metadata

Developments in big data technology, wireless networks, Geographic information system (GIS) technology, and internet growth has increased the volume of data at...

GeoWebCln: An Intensive Cleaning Architecture for Geospatial Metadata

Published Online: Mar 09, 2022

Page range: 51 - 62

Received: Sep 22, 2021

DOI: https://doi.org/10.2478/quageo-2022-0004

Keywords
spatial data, spatial metadata, data cleaning, spatial database, GIS

© 2022 Savita Kumari Sheoran et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

GeoWebCln: An Intensive Cleaning Architecture for Geospatial Metadata

Published Online: Mar 09, 2022

Page range: 51 - 62

Received: Sep 22, 2021

DOI: https://doi.org/10.2478/quageo-2022-0004

Keywordsspatial data, spatial metadata, data cleaning, spatial database, GIS

© 2022 Savita Kumari Sheoran et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
spatial data, spatial metadata, data cleaning, spatial database, GIS