Every day more and more interesting resources as published as open data. We help citizens access them by generating a chatbot to talk with Open Data.
We propose a model-based approach to compose data-driven REST APIs. Our approach creates a global API exposing a unified data model. This global model is exposed as an OData service
Our tool is able to visualize how end-users interact with open data sources regarding two types of metrics: (1) performance metrics and (2) semantic metrics. Among them, we include a UML heatmap to highlight the part of the open data schema that is most frequently requested
OData is a protocol to facilitate the publication and consumption of queryable and interoperable data-driven services. OData is based on the use of RESTful APIs derived from a data model. We present a model-driven approach to automate the generation of OData services from data sources