DBAIJul 21, 2022

Toward a Generic Mapping Language for Transformations between RDF and Data Interchange Formats

arXiv:2207.11205v25 citationsh-index: 30
Originality Synthesis-oriented
AI Analysis

This addresses the integration of semantic models with existing software tools in domains like engineering, but it is incremental as it builds on existing mapping approaches.

The paper tackles the problem of automatically mapping semantic information from RDF into data interchange formats like XML to enable use in software tools, presenting a mapping language and algorithm with an evaluation in an engineering use case.

While there exist approaches to integrate heterogeneous data using semantic models, such semantic models can typically not be used by existing software tools. Many software tools - especially in engineering - only have options to import and export data in more established data interchange formats such as XML or JSON. Thus, if an information which is included in a semantic model needs to be used in a such a software tool, automatic approaches for mapping semantic information into an interchange format are needed. We aim to develop a generic mapping approach that allows users to create transformations of semantic information into a data interchange format with an arbitrary structure which can be defined by a user. This mapping approach is currently being elaborated. In this contribution, we report our initial steps targeted to transformations from RDF into XML. At first, a mapping language is introduced which allows to define automated mappings from ontologies to XML. Furthermore, a mapping algorithm capable of executing mappings defined in this language is presented. An evaluation is done with a use case in which engineering information needs to be used in a 3D modeling tool.

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