This paper presents the design and development of a solution to store and reuse physical system models by indexing and retrieving their content and metadata. To do so, a mapping between the representation modelling language and a semantic-based representation model (Relationship-RSHP) is defined. More specifically, electrical circuits designed in Modelica have been mapped to RSHP. A two-step process has been designed and implemented to parse Modelica artifacts and index the contents in a system knowledge repository. Afterwards, a case study has also been conducted to compare text vs. concept based information retrieval processes. A dataset of 25 electrical circuits and a set of 30 queries have been designed to extract precision and recall metrics assessing that the presented approach improves the retrieval of Modelica artifacts. As main conclusion, it is possible to state that a domain specific technology such as RSHP for knowledge representation can help the management of Modelica artifacts as knowledge assets.
Information Representation; Physical System Models; Modelica Language; Model Reuse; Knowledge Reuse
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