Abstract

The evolution of webs from web of documents to a web of data allows machines to read and connect structured data on the Web, known as Linked Data. This enables machine learning to use linked data in ways that were previously thought to be impossible to do. Machine learning and linked data research are relatively thoughtless. As a result, the primary goal of this research is to present ARQL, an extension of SPARQL 1.1 and to cluster Linked Data derived from online web sources. We provide state of the art ARQL features to allow machine to directly query from online RDF, JSON-LD or JSON API. Here we describe how ARQL web service is used to query Web of Data development and generalization of SPARQL federated query, two initial steps for the development of halal food mobile application tied up with ARQL.

Details

Title
A generalization SPARQL federated query: An initial step towards machine-readable web of data for halal food products
Author
Hernawan, A 1 ; Sunarwidhi, AL 2 ; Prasedya, E S 3 ; Widyastuti, S 4 

 Department of Informatics Technology, Faculty of Engineering, University of Mataram, Indonesia 
 Department of Pharmacy, Faculty of Medicine, University of Mataram, Indonesia 
 Bioscience and Biotechnology Research Centre, Faculty of Mathematics and Natural Sciences, University of Mataram, Indonesia 
 Faculty of Food Technology and Agroindustry, University of Mataram, Indonesia 
Publication year
2021
Publication date
Nov 2021
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2607350556
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.