Completing and Debugging Ontologies: state of the art and challenges
August 08, 2019 Β· Declared Dead Β· π ACM Journal of Data and Information Quality
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Authors
Patrick Lambrix
arXiv ID
1908.03171
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
22
Venue
ACM Journal of Data and Information Quality
Last Checked
4 months ago
Abstract
As semantically-enabled applications require high-quality ontologies, developing and maintaining ontologies that are as correct and complete as possible is an important although difficult task in ontology engineering. A key step is ontology debugging and completion. In general, there are two steps: detecting defects and repairing defects. In this paper we discuss the state of the art regarding the repairing step. We do this by formalizing the repairing step as an abduction problem and situating the state of the art with respect to this framework. We show that there are still many open research problems and show opportunities for further work and advancing the field.
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