Semantic Heterogeneity is conventionally understood as the existence of variance in the representation of a target reality when modelled, by independent parties, in different databases, schemas and/ or data. We argue that the mere encoding of variance, while being necessary, is not sufficient enough to deal with the problem of representational heterogeneity, given that it is also necessary to encode the unifying basis on which such variance is manifested. To that end, this paper introduces a notion of Representation Heterogeneity in terms of the co-occurrent notions of Representation Unity and Representation Diversity. We have representation unity when two heterogeneous representations model the same target reality, representation diversity otherwise. In turn, this paper also highlights how these two notions get instantiated across the two layers of any representation, i.e., Language and Knowledge.
翻译:通常的理解是,由独立各方在不同数据库、图案和/或数据中模拟,在目标现实的表述上存在差异。我们争辩说,仅仅对差异进行编码虽然是必要的,但不足以解决代表性差异性的问题,因为同样有必要将体现这种差异的统一基础加以编码。为此,本文件从代表统一和代表多样性的共同常有概念的角度提出了代表性多样性的概念。当两个不同代表机构模拟同一目标现实时,我们具有代表性一致性,即代表多样性。反过来,本文件还着重说明了这两个概念如何在任何代表的两层,即语言和知识之间发生即燃起。