Abstract
We present Joyce, a scalable tool for identifying and assembling relevant (pieces of) ontologies from a repository of source ontologies, thus enabling the effective and efficient reuse of formalized domain knowledge. Joyce includes a conceptual filter to identify relevant classes, minimizes unintended redundancies, i.e. concept duplicates, and excludes knowledge considered irrelevant for the specific conceptual design task.
E. Faessler and F. Klan—Joint First Authors.
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Notes
- 1.
Modules shall comprise relevant concepts only, but often include irrelevant classes.
References
Algergawy, A., Babalou, S., Klan, F., König-Ries, B.: OAPT: a tool for ontology analysis and partitioning. In: International Conference on Extending Database Technology, pp. 644–647 (2016)
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Acknowledgments
The work has been partly funded by the Deutsche Forschungsgemeinschaft (DFG) as part of the CRC 1076 AquaDiva.
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Faessler, E., Klan, F., Algergawy, A., König-Ries, B., Hahn, U. (2017). Selecting and Tailoring Ontologies with JOYCE. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_12
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DOI: https://doi.org/10.1007/978-3-319-58694-6_12
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