Data Linking as a Service: An Infrastructure for Generating and Publishing Linked Data on the Web

Companies, government, and even ordinary people have been producing and publishing huge amounts of data. This phenomena, known as big data, leveraged the interest in advanced analytics and data science. Many observers, though, are pointing out that extracting knowledge from such datasets requires suitable tools for handling and integrating data. Research in the last years has shown that taking into account the semantics of data is crucial for fostering data integration solutions. However, there is a lack of solutions for data publishing that follow the best practices for exposing and connecting data. With this regard, this work proposed DLaaS, an infrastructure for generating and publishing linked data on the Web. It aims at facilitating the execution of necessary processes to properly publish high quality linked data. Its main goal is to improve the reuse of data by connecting entities based on heterogeneous datasets that share a certain level of data intersection or semantic relationship.