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.
Author supplied keywords
Cite
CITATION STYLE
Hernawan, A., Sunarwidhi, A. L., Prasedya, E. S., & Widyastuti, S. (2021, December 2). A generalization SPARQL federated query: An initial step towards machine-readable web of data for halal food products. IOP Conference Series: Earth and Environmental Science. IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/913/1/012040
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.