A Model-based Chatbot Generation Approach to talk with Open Data Sources
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.
APIComposer: Data-driven Composition of REST APIs
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
Model-Driven Analytics for Open Data APIs (including a heatmap UML model!)
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
Model-driven Development of OData Services
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
WEOD: International Workshop on Engineering Open Data
Have you ever thought how effective and practical use of open data might change our societies empowering citizens into smart citizens? We (Roberto Rodriguez Echeverria and Javier Cánovas) are organizing the first edition of the International Workshop on Engineering...Modeling: all you need to know
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