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Producing linked open data to describe scientific activity from researchers of Ecuadorian universities

Abstract:

Semantic interoperability can be reached using universal languages of knowledge representation and adopting open standards practices (such as URIs, RDF, OWL, and LOD) advantaging the content interchange. In this work, we present a life cycle process with the following stages: data collection, processing, transformation, enrichment, and publishing, of Linked Data into the domain of research activity produced by the university teaching staff in Ecuador. This article describes the processes for collecting data from repositories, creating a semantic data model, cleaning data, transforming, linking and publishing linked data. Special attention has been given to ontological design patterns, as well as tools to ensure the semantic interoperability of the converted data. Special attention has been given to ontological design patterns, as well as tools to ensure the semantic interoperability of the converted data. The model shows these heterogeneous data into an evenly and abstract way, which is crucial in the matter of providing 'intelligent' applications for research activity.