Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources

Paolo Fosci, Giuseppe Psaila

2022

Abstract

Since the last two decades, Web Intelligence has denoted a plethora of approaches to discover useful knowledge from the vast World-Wide Web; however, dealing with the immense variety of the Web is not easy and the challenge is still open. In this paper, we moved from the previous functionalities provided by the J-CO Framework (a research project under development at University of Bergamo Italy), to identify a vision of Web Intelligence scopes in which capabilities of soft computing and soft querying provided by a stand-alone tool can actually create novel possibilities of making useful analysis of JSON data sets directly coming from Web sources. The paper identifies some extensions to the J-CO Framework, which we implemented; then it shows an example of soft querying enabled by these extensions.

Paper Citation

in Harvard Style

Fosci P. and Psaila G. (2022). Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 302-313. DOI: 10.5220/0011547400003318

in Bibtex Style

@conference{webist22,
author={Paolo Fosci and Giuseppe Psaila},
title={Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={302-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011547400003318},
isbn={978-989-758-613-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources
SN - 978-989-758-613-2
AU - Fosci P.
AU - Psaila G.
PY - 2022
SP - 302
EP - 313
DO - 10.5220/0011547400003318