Devising Mapping Interoperability With Mapping Translation.

Extended Semantic Web Conference (ESWC)(2022)

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Abstract
Nowadays, KnowledgeGraphs are extensively created using very different techniques, mapping languages among them. The wide variety of use cases, data peculiarities, and potential uses has had a substantial impact in how these languages have been created, extended, and applied. This situation is closely related to the global adoption of these languages and their associated tools. The large number of languages, compliant tools, and usually the lack of information of the combination of both leads users to use other techniques to construct Knowledge Graphs. Often, users choose to create their own ad hoc programming scripts that suit their needs. This choice is normally less reproducible and maintainable, what ultimately affects the quality of the generated RDF data, particularly in long-term scenarios. We devise with mapping translation an enhancement to the interoperability of existing mapping languages. This position paper analyses the possible language translation approaches, presents the scenarios in which it is being applied and discusses how it can be implemented.
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