Representation Heterogeneity
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 2 of its 20 references that are in the map. First posted on arXiv 3 Jul 2022.
Builds on
2 of 20 references.
References · 2
- 2021Towards Visual Semanticscited by 12
- 2021Stratified Data Integrationcited by 9
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 1.
3 papers.