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In this paper, contextual knowledge is exploited to detect such hidden errors.
Even though the instances of unintended consequences and hidden errors appeared to be very rare (affecting around 0.1% of the segments), their presence does reduce confidence in the accuracy of the results.
Because of the constant need of inconsistency checking and resolving, many hidden errors in BioTop were detected, especially faulty disjointness axioms (e.g. Organic Chemical was disjoint from Carbohydrate), unrecognized ambiguities (e.g. Sequence as information entity versus molecular structure) as well as granularity mismatches (e.g. Chromosome as molecule).
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It is much easier to hide errors and problems, sweep misunderstandings under the rug, and make erroneous assumptions when you are communicating via phone and e-mail rather than in person.
Argyris (1977) mentions the double bind between the two organisational rules "hide errors" and "reveal errors".
This leads us to hide our errors from others and we might become so error-averse that we inadvertently hide errors from ourselves [56].
However, because the context similarity is also used for abbreviation disambiguation, this might hide errors in clustering.
While current ontology debugging methods can detect logical errors (incoherences and inconsistencies), they are incapable of detecting hidden modeling errors in coherent and consistent ontologies.
While some of the previously hidden military errors in Iraq or Afghanistan may fit this category, what evil or illegality is the flood of American diplomatic cables revealing?
Many experiments show that a large in scale and complicated in structure smart phone software can be tested using our innovative algorithms to discover more deep hidden logical errors efficiently and effectively.
With the used alignment and categorization methods it was also possible to find hidden translation errors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com