In the last two decades a plethora of approaches have been proposed to perform Web Intelligence to discover useful knowledge over the World-Wide Web. However, variety and vastness of the Web are still making this task a hard challenge. Nonetheless, the Web is evolving. An example is the advent of the JSON format as the practical standard for exchanging data over the Internet. In our previous work, we proposed the concept of Soft Web Intelligence: it is a modern interpretation of Web Intelligence based on the current technological panorama, in which JSON data sets can be gathered and stored within JSON document stores and processed by means of Soft Computing so as to Soft Querying them. Soft Web Intelligence is enabled by the J-CO Framework, a software tool that is natively able to manage, soft-query and transform collections of JSON documents, located either in NoSQL repositories or over the Internet. The paper illustrates our vision by presenting a plausible case study based on a weekly-updated data set that reports COVID-19 cases in European Countries.

(2023). Soft Web Intelligence with the J-CO Framework . Retrieved from https://hdl.handle.net/10446/263156

Soft Web Intelligence with the J-CO Framework

Fosci, Paolo;Psaila, Giuseppe
2023-01-01

Abstract

In the last two decades a plethora of approaches have been proposed to perform Web Intelligence to discover useful knowledge over the World-Wide Web. However, variety and vastness of the Web are still making this task a hard challenge. Nonetheless, the Web is evolving. An example is the advent of the JSON format as the practical standard for exchanging data over the Internet. In our previous work, we proposed the concept of Soft Web Intelligence: it is a modern interpretation of Web Intelligence based on the current technological panorama, in which JSON data sets can be gathered and stored within JSON document stores and processed by means of Soft Computing so as to Soft Querying them. Soft Web Intelligence is enabled by the J-CO Framework, a software tool that is natively able to manage, soft-query and transform collections of JSON documents, located either in NoSQL repositories or over the Internet. The paper illustrates our vision by presenting a plausible case study based on a weekly-updated data set that reports COVID-19 cases in European Countries.
giuseppe.psaila@unibg.it
2023
Inglese
Web Information Systems and Technologies: 18th International Conference, WEBIST 2022, Valletta, Malta, October 25–27, 2022, Revised Selected Papers
Marchiori, Massimo; Domínguez Mayo, Francisco José; Filipe, Joaquim;
978-3-031-43087-9
494
142
165
cartaceo
online
Switzerland
Cham
Springer
esperti anonimi
WEBIST 2022: 18th International Conference on Web Information Systems and Technologies, Valletta, Malta, 25-27 October 2022
18th
Valletta (Malta)
25-27 October 2022
internazionale
contributo
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Continued acquisition of JSON data sets from Web sources; J-CO framework; Soft querying JSON data sets; Soft web intelligence
Continued acquisition of JSON data sets from Web sources; J-CO framework; Soft querying JSON data sets; Soft web intelligence;
info:eu-repo/semantics/conferenceObject
2
Fosci, Paolo; Psaila, Giuseppe
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2023). Soft Web Intelligence with the J-CO Framework . Retrieved from https://hdl.handle.net/10446/263156
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/263156
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