Abstract
To describe modeling objects in Model-Based Systems Engineering (MBSE) tools, physical properties of these objects are often provided only in data sheets, which are not truly machine-readable. Previously, we proposed a product data hub to exchange spacecraft product information between manufacturers and various MBSE tools. However, issues with heterogeneous structures and semantics of information, such as differences in data format and vocabularies, persist. Using ontologies to maintain product descriptions can mitigate the heterogeneity problem by providing semantic descriptions and supporting different vocabularies for a single concept. To automatically and semantically obtain information from documents that contain tables, lists, and text, we developed an ontology-based information extraction tool. We present how to use the Data Sheets Annotation Tool (DSAT) for, either manually or automatically, extracting information from data sheets, and populating a database with the obtained data. Particularly, we emphasize on the usage of DSAT as a user interface for improving ontologies, which, in turn, are used for a (better) information extraction from the data sheets. Although DSAT is initially created for supporting collaborative systems engineering, it is not limited to the domain of spacecraft design. It can also be applied to other domains, where information needs to be extracted from a multitude of heterogeneous sources.
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Opasjumruskit, K., Schindler, S., Peters, D. (2021). Automatic Data Sheet Information Extraction for Supporting Model-Based Systems Engineering. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2021. Lecture Notes in Computer Science(), vol 12983. Springer, Cham. https://doi.org/10.1007/978-3-030-88207-5_10
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