Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources
Francesco Paolo, Giuseppe Psaila · 2022
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 ofWeb 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.