Comparison Matrices of Semantic RESTful APIs Technologies

Abstract

Semantic RESTful APIs combine the power of the REST architectural style, the Semantic Web and Linked Data. They picture a world in which Web APIs are easier to browse and more meaningful for humans while also being machine-interpretable, turning them into platforms that developers and companies can build on. We counted 36 technologies that target building such APIs. As there is no one-size-fits-all technology, they have to be combined. This makes selecting the appropriate set of technologies to a specific context a difficult task for architects and developers. So, how the selection of such a set of technologies can be eased? In this paper we propose three comparison matrices of Semantic RESTful APIs enabling technologies. It is based on the analysis of the differences and commonalities between existing technologies. It intends to help developers and architects in making an informed decision on the technologies to use. It also highlights the limitations of state-of-the-art technologies from which open challenges are derived.

JSON-LD Based Web API Semantic Annotation Considering Distributed Knowledge

“…WebAPIOnto is a common Web API ontology, and can be used by any Web API provider to annotate their own Specially, ontology WebAPIOnto provides vocabularies related to currently popular Web APIs as complete as possible. From the RESTful view, maturity of these Web APIs generally is at a lower maturity level [24]. Therefore, developers can extended this ontology as the maturity of Web APIs is raised in future.…”

“…Thirdly, it parses semantic concepts out of parameters, and creates new ontologies or adds new classes into existing ontologies according to whether ontologies and semantic concepts for parameters are new or not (lines 03-15). Lastly, it parses object properties out of literals, and carries out the similar process with the semantic concepts (lines [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”