2015
DOI: 10.1016/j.datak.2015.06.004
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Ontological anti-patterns: empirically uncovered error-prone structures in ontology-driven conceptual models

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Cited by 26 publications
(43 citation statements)
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“…On the other hand, this complexity poses a serious additional challenge in the comprehension and, consequent, quality assurance of these models. For example, [22] reports on an empirical study conducted with a large and professionally constructed conceptual model. 1 In that study, the authors managed to show that the model contained 879 occurrences of error-prone structures (anti-patterns), 52.56% of which really introduced representation errors according to the creators of the model.…”
Section: Complexity Management Of Conceptual Modelsmentioning
confidence: 99%
See 3 more Smart Citations
“…On the other hand, this complexity poses a serious additional challenge in the comprehension and, consequent, quality assurance of these models. For example, [22] reports on an empirical study conducted with a large and professionally constructed conceptual model. 1 In that study, the authors managed to show that the model contained 879 occurrences of error-prone structures (anti-patterns), 52.56% of which really introduced representation errors according to the creators of the model.…”
Section: Complexity Management Of Conceptual Modelsmentioning
confidence: 99%
“…As previously discussed, relators are fundamental in OD-CMs. For instance, by representing the cardinality constraints c 1 ..c n , d 1 ..d n , a 1 ..a n and b 1 ..b n in table I, we can eliminate instances of the so-called single-tuple/multiple-tuple cardinality ambiguity problem [12] in the model; by representing the the cardinality constraints e 1 ..e n and f 1 ..f n , we can eliminate occurrences of the repeatable instances anti-pattern as discussed in [22]. However, in order to compress our model, and following the previously discussed rationale, we abstract from this relator pattern by replacing each of its occurrences with a structure in which only the derived relations are shown.…”
Section: A Abstracting Relators (R1)mentioning
confidence: 99%
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“…A thorough and evidence-supported understanding of these issues, e.g. what exactly "poor design" and "good design" are, appears to be necessary to advance on these fronts; investigations into ontological anti-patterns fall into this realm [22]. In particular, there seems to be a lack of user-centric evaluations addressing the ontology reuse issue, with only a few notable exceptions, e.g.…”
Section: Investigate Causes For Poorly Designed Ontologiesmentioning
confidence: 99%