01613nas a2200181   4500008004100000245008400041210006900125260003400194300001200228490000800240520097700248100001201225700002001237700002101257700001701278700001901295856011701314       2010                        eng d00aDistance-based Measures of Inconsistency and Incoherency for Description Logics0 aDistancebased Measures of Inconsistency and Incoherency for Desc  aWaterloo, CanadabCEUR-WS.org  a475-4850 v5733 a<p>Inconsistency and incoherency are two sorts of erroneous information in a DL ontology which have been widely discussed in ontology-based applications. For example, they have been used to detect modeling errors during ontology construction. To provide more informative metrics which can tell the differences between inconsistent ontologies and between incoherent terminologies, there has been some work on measuring inconsistency of an ontology and on measuring incoherency of a terminology. However, most of them merely focus either on measuring inconsistency or on measuring incoherency and no clear ideas of how to extend them to allow for the other. In this paper, we propose a novel approach to measure DL ontologies, named distance-based measures. It has the merits that both inconsistency and incoherency can be measured in a unified framework. Moreover, only classical DL interpretations are used such that there is no restriction on the DL languages used.</p>
1 aMa, Yue1 aHitzler, Pascal1 aHaarslev, Volker1 aToman, David1 aWeddell, Grant  uhttps://daselab.cs.ksu.edu/publications/distance-based-measures-inconsistency-and-incoherency-description-logics