Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths

Within the Semantic Web community, SPARQL is one of the predominant languages to query and update RDF knowledge. However, the complexity of SPARQL, the underlying graph structure and various encodings are common sources of confusion for Semantic Web novices. In this paper we present a general purpose approach to convert any given SPARQL endpoint into a simple to use REST API. To lower the initial hurdle, we represent the underlying graph as an interlinked view of nested JSON objects that can be traversed by the API path.Comment: 5 pages, 2 figures, ESWC 2018 demo pape

A Simple API to the KnowledgeStore

RDF and SPARQL technologies have not gained widespread accep- tance amongst web developers. We describe a simple API which is used to pro- vide access to the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded storage system for interlinking structured and unstructured data, developed in the contect of the FP7 NewsReader EU project. The simple API wraps a set of parameterised SPARQL queries to access the KnowledgeStore RDF structured content, and calls to the KnowledgeStore CRUD endpoint to retrieve unstructured resources. Responses are delivered as JSON, JSONP, HTML or CSV. The API is largely self-documenting. The API is written using the Flask Python library, and includes an extensive suite of tests. It is modular, so that new SPARQL queries can be added easily or it could be used as a template for providing an API to any SPARQL endpoint. The simple API was succesfully exploited by 38 web developers, many of them unfamiliar with RDF and SPARQL technologies, to build web applications on top of the KnowledgeStore