Sección de libro

Representing Imprecise and Uncertain Knowledge in Digital Humanities

2018. Inglés

Resumen
When working in digital humanities, we are often required to manage knowledge that is highly vague, either because it refers to things in the world lacking clear-cut boundaries, or because it is incomplete or approximate. The usual approaches to knowledge representation and information modelling, often taken from engineering or natural science disciplines, lack the ability to express these concerns. Also, software systems for digital humanities should acknowledge that imprecise and uncertain information exists, but current software development technologies fall short of providing satisfactory approaches to implementing such “soft” issues.

In this paper we propose a theoretical framework to define, characterise and express information imprecision and uncertainty in digital humanities, and describe a semi-formal implementation on top of the ConML conceptual modelling language. The proposal has been applied to a real project in digital humanities.

Using this approach, imprecise and uncertain knowledge can be represented, so that models and simulations in digital humanities provide a better account of the reality being modelled. Also, software systems (including databases, search engines or analytical algorithms) can exploit these aspects to yield more faithful results.
Palabras clave
Imprecision. Uncertainty. Vagueness. Knowledge representation. Conceptual modelling. Digital Humanities. ConML.
Información del libro
Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality
2018 ACM
Referencia
ISBN/ISSN 978-1-4503-6518-5