The ability to perform automated conversions between data conforming to different specifications is a key ingredient to achieve interoperability among heterogeneous systemswhich, in turn, is at the basis of the creation of so-called Systems of Systems. These conversions require the definition of mappings between concepts of separate data specifications, which is typically a hard and time-consuming task. In this paper, we present a technique to automatically suggest mappings to users, based on both linguistic and structural similarities between terms. The approach has been implemented in our prototype tool, SMART (SPRINT Mapping & Annotation Recommendation Tool), and it has been validated through tests carried out using specifications from the transportation domain.
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Safia Kalwar (2021) studied this question.
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