Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base
Schon C, Staab S, Kügler P, Kestel P, Schleich B, Wartzack S (2018)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Conference Proceedings Title: Knowledge Engineering and Knowledge Management - 21st International Conference
Event location: Nancy
URI: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5c1b58898b3db
DOI: 10.1007/978-3-030-03667-6_26
Abstract
The ontology modeling practice of engineering metaproperties of concepts is a well-known technique. Some metaproperties of concepts describe the dynamics of concept instances, i.e. how instances can and cannot be altered. We investigate how deletions in an ontology-based knowledge base interact with the metaproperties rigidity and dependence. A particularly useful effect are delete cascades. We evaluate how rigidity and dependence may guide delete cascades in an engineering application. A case study in the area of product development shows that beyond explicitly defined deletions, our approach achieves further automated and desirable deletions of facts with high precision and good recall.
Authors with CRIS profile
Patricia Kügler
Chair of Engineering Design
Philipp Kestel
Chair of Engineering Design
Benjamin Schleich
Chair of Engineering Design
Sandro Wartzack
Chair of Engineering Design
Related research project(s)
How to cite
APA:
Schon, C., Staab, S., Kügler, P., Kestel, P., Schleich, B., & Wartzack, S. (2018). Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base. In Knowledge Engineering and Knowledge Management - 21st International Conference. Nancy, FR.
MLA:
Schon, Claudia, et al. "Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base." Proceedings of the EKAW 2018, Nancy 2018.
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