RT Journal Article
T1 Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities
A1 Martín Rodilla, Patricia
A1 González Pérez, César
K1 Vagueness
K1 Non-relational databases
K1 Conceptual modelling
K1 Imprecision
K1 Uncertainty
K1 Knowledge representation
K1 Digital humanities
K1 ConML
AB Research in the digital humanities often involves vague information, either because our objects of study lack clearly defined boundaries, or because our knowledge about them is incomplete or hypothetical, which is especially true in disciplines about our past (such as history, archaeology, and classical studies). Most techniques used to represent data vagueness emerged from natural sciences, and lack the expressiveness that would be ideal for humanistic contexts. Building on previous work, we present here a conceptual framework based on the ConML modelling language for the expression of information vagueness in digital humanities. In addition, we propose an implementation on non-relational data stores, which are becoming popular within the digital humanities. Having clear implementation guidelines allow us to employ search engines or big data systems (commonly implemented using non-relational approaches) to handle the vague aspects of information. The proposed implementation guidelines have been validated in practice, and show how we can query a vagueness-aware system without a large penalty in analytical and processing power
PB MDPI
YR 2019
FD 2019
LK http://hdl.handle.net/10347/23822
UL http://hdl.handle.net/10347/23822
LA eng
NO Martin-Rodilla, P.; Gonzalez-Perez, C. Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities. Informatics 2019, 6, 20
NO This research was partially funded by Spanish Ministry of Economy, Industry, and Competitiveness under its Competitive Juan de la Cierva Postdoctoral Research Programme, grant FJCI-2016-28032
DS Minerva
RD 24 abr 2026