Next Article in Journal
A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection
Previous Article in Journal
Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla—A Low Resourced Language
Article Menu

Article Versions

Export Article

Open AccessArticle

Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities

1
CiTIUS, University of Santiago de Compostela, Jenaro de la Fuente Domínguez,s/n 15782 Santiago de Compostela, Spain
2
Institute of Heritage Sciences (Incipit) Spanish National Research Council (CSIC) Avda. Vigo, s/n. 15705 Santiago de Compostela, Spain
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in TEEM’18, Salamanca, Spain, 24–26 October 2018.
Informatics 2019, 6(2), 20; https://doi.org/10.3390/informatics6020020
Received: 22 March 2019 / Revised: 29 April 2019 / Accepted: 30 April 2019 / Published: 6 May 2019
(This article belongs to the Special Issue Uncertainty in Digital Humanities)
PDF [3835 KB, uploaded 8 May 2019]
  |  

Abstract

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.
Keywords: vagueness; non-relational databases; conceptual modelling; imprecision; uncertainty; knowledge representation; digital humanities; ConML vagueness; non-relational databases; conceptual modelling; imprecision; uncertainty; knowledge representation; digital humanities; ConML
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top