Soft Querying JSON Datasets with Personalized Preferences and Aggregations

Paolo Fosci, Giuseppe Psaila

2024

Abstract

Soft conditions are a powerful and established formal tool to select data on the basis of linguistic predicates. In previous work, the J-CO Framework (and its query language) was used to perform Soft Web Intelligence, i.e., a practical interpretation of the concept of Web Intelligence that exploits soft conditions to search for desired items in JSON datasets acquired from Web sources. However, the effectiveness of soft conditions depends on how elementary conditions are combined: in this sense, a plethora of proposals are available, such as the vector p-norm. This paper shows how a generic concept, named “user-defined fuzzy evaluator”, that has been recently introduced in the query language, actually allows users to define their own operators, so as to express advanced operators such as “and possibly”. The paper also shows how the AND operator defined as a vector p-norm actually behaves, depending on different configurations of parameters, so as to let the reader understand how to use it in practice.

Paper Citation

in Harvard Style

Fosci P. and Psaila G. (2024). Soft Querying JSON Datasets with Personalized Preferences and Aggregations. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 153-164. DOI: 10.5220/0013070200003825

in Bibtex Style

@conference{webist24,
author={Paolo Fosci and Giuseppe Psaila},
title={Soft Querying JSON Datasets with Personalized Preferences and Aggregations},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={153-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013070200003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Soft Querying JSON Datasets with Personalized Preferences and Aggregations
SN - 978-989-758-718-4
AU - Fosci P.
AU - Psaila G.
PY - 2024
SP - 153
EP - 164
DO - 10.5220/0013070200003825
PB - SciTePress