BOG @ JOWO 2019
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As ontologies are adopted by new practitioners and as they grow in size, bad ontologies become an increasingly common reality. Bad ontologies may be inconsistent, have unwanted consequences, be ridden with anti-patterns. In general, bad ontologies present design mistakes that make their use and maintenance problematic or impossible.
Programming engineers have had access for some time to debuggers to help identify unwanted results and linters to identify stylistic errors and suspicious constructs.
Researchers in ontology engineering have actively been working on engineering methods to assist in the repair of erroneous ontologies: diagnostic, explanation, anti-pattern detection, etc. This workshop aims to discuss every topic related to bad ontologies, including the current techniques for repairing bad ontologies, and benchmarks of bad ontologies for evaluating repairing methods.
Research in ontology repair needs to be experimentally tested and evaluated. However, there is a paradoxical and yet manifest lack of bad ontologies that are readily available; bad ontologies remain proprietary or are not published at all.
We welcome original contributions about all topics related to bad ontologies, including but not limited to:
- the cataloguing of ontology symptoms
- symptoms detection
- diagnostic methods to explain the symptoms
- ontology quality measures
- principled methods for building bad ontologies
- benchmarks of bad ontologies for evaluating repairing methods
Articles will be published in the IAOA subseries of the CEUR workshop proceedings. See previous editions here.
- Torsten Hahmann - University of Maine, USA
- Rafael Peñaloza - University of Milano-Bicocca, Italy
- Stefan Schulz - Medical University of Graz, Austria
- Giancarlo Guizzardi - University of Bozen-Bolzano, Italy
- Oliver Kutz - University of Bozen-Bolzano, Italy
- Nicolas Troquard - University of Bozen-Bolzano, Italy