Paper Info
Title
Powering Soft Querying in J-CO-QL with JavaScript Functions
Abstract
The availability of large data sets represented as JSON documents is demanding for powerful tools able to integrate and query them. The J-CO Framework is a research prototype under development at University of Bergamo (Italy), specifically devised to provide practical tools to manage possibly large JSON data sets. Its query language, named J-CO-QL, provides constructs to evaluate the belonging of documents to fuzzy sets, so as to perform soft queries on JSON documents. In this paper, we present a real case study that shows how a novel construct, which enables defining JavaScript functions within J-CO-QL queries, provides users with an even improved possibility to personalize soft operators used to evaluate membership degrees.
Year
DOI
Venue
2021
10.1007/978-3-030-87869-6_20
16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)
Keywords
DocType
Volume
Soft querying on JSON data sets, Defining JavaScript functions, Fuzzy operators powered by JavaScript functions
Conference
1401
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Paolo Fosci143.54
Giuseppe Psaila2722192.45