Extract User-Generated Content from Spatial Data Provision Services

User-generated content and voluntary data are valuable information sources commonly used in many fields to derive new knowledge, guide decision processing, or tailor recommendations. Acquiring such data from a typical data provision service is not trivial, because several limitations arise from lega...

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Bibliographic Details
Published in:International Conference on Application of Information and Communication Technologies pp. 1 - 6
Main Authors: Gambini, Mauro, Migliorini, Sara, Belussi, Alberto
Format: Conference Proceeding
Language:English
Published: IEEE 25.09.2024
Subjects:
data consumption application
Data mining
data provision service
Data structures
Focusing
incremental spatial analysis
Information and communication technology
Law
Optimization
Parallel processing
Spatial databases
User-generated content
ISSN:2472-8586
Online Access:Get full text
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Summary:User-generated content and voluntary data are valuable information sources commonly used in many fields to derive new knowledge, guide decision processing, or tailor recommendations. Acquiring such data from a typical data provision service is not trivial, because several limitations arise from legal, commercial, and technological points of view. A data consumption application needs to be carefully designed in order to extract a consistent and meaningful picture of the available data, particularly when it is subject to budget constraints. This paper provides a comprehensive discussion and formalization of the topic, focusing on a specific problem found in many spatial services: detecting sites located in a specific area of interest, subject to a limited budget. Moreover, a solution is presented which is based on an incremental interactive algorithm with tailored data structures and parallel optimizations.
ISSN:2472-8586
DOI:10.1109/AICT61888.2024.10740450