Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.8
3.1
Journals
Informatics
Special Issues
Digital Humanities and Visualization
share announcement

Digital Humanities and Visualization

A special issue of Informatics (ISSN 2227-9709). This special issue belongs to the section "Social Informatics and Digital Humanities".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 9900

Special Issue Editor

Dr. Hsuanwei Michelle Chen

E-Mail Website
Guest Editor
School of Information, San José State University, San José, CA 95192, USA
Interests: virtual platforms; social media; networked environments

Special Issue Information

Dear Colleagues,

The predecessor of digital humanities is "humanities computing", a name that reflects the original understanding of the field: the application of computers as a new tool to the humanities to solve problems. Distant reading is the cornerstone of digital humanities, and visualization is one of the most effective means of presenting distant reading. Thus, the importance of visualization in the field of digital humanities is self-evident.

This Special Issue seeks contributions on recent research from scholars who engage in the context of digital humanities and visualization. Topics include but are not limited to:

  • Digital close reading;
  • Distant reading;
  • Discourse analysis;
  • Translation studies;
  • Textual variation;
  • Text re-use detection and analysis;
  • Digital libraries.

Original research articles and review papers are welcomed.

Dr. Hsuanwei Michelle Chen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information visualization
  • text visualization
  • reading visualization
  • digital humanities
  • visual exploration
  • visual analytics

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 1731 KiB  
Article
Analyzing Indo-European Language Similarities Using Document Vectors
by Samuel R. Schrader and Eren Gultepe
Informatics 2023, 10(4), 76; https://0-doi-org.brum.beds.ac.uk/10.3390/informatics10040076 - 26 Sep 2023
Viewed by 1605
Abstract
The evaluation of similarities between natural languages often relies on prior knowledge of the languages being studied. We describe three methods for building phylogenetic trees and clustering languages without the use of language-specific information. The input to our methods is a set of [...] Read more.
The evaluation of similarities between natural languages often relies on prior knowledge of the languages being studied. We describe three methods for building phylogenetic trees and clustering languages without the use of language-specific information. The input to our methods is a set of document vectors trained on a corpus of parallel translations of the Bible into 22 Indo-European languages, representing 4 language families: Indo-Iranian, Slavic, Germanic, and Romance. This text corpus consists of a set of 532,092 Bible verses, with 24,186 identical verses translated into each language. The methods are (A) hierarchical clustering using distance between language vector centroids, (B) hierarchical clustering using a network-derived distance measure, and (C) Deep Embedded Clustering (DEC) of language vectors. We evaluate our methods using a ground-truth tree and language families derived from said tree. All three achieve clustering F-scores above 0.9 on the Indo-Iranian and Slavic families; most confusion is between the Germanic and Romance families. The mean F-scores across all families are 0.864 (centroid clustering), 0.953 (network partitioning), and 0.763 (DEC). This shows that document vectors can be used to capture and compare linguistic features of multilingual texts, and thus could help extend language similarity and other translation studies research. Full article
(This article belongs to the Special Issue Digital Humanities and Visualization)
►▼ Show Figures

Figure 1

18 pages, 1471 KiB  
Article
Detection of Abnormal Patterns in Children’s Handwriting by Using an Artificial-Intelligence-Based Method
by William Villegas-Ch, Isabel Urbina-Camacho and Joselin García-Ortiz
Informatics 2023, 10(2), 52; https://0-doi-org.brum.beds.ac.uk/10.3390/informatics10020052 - 14 Jun 2023
Cited by 1 | Viewed by 2039
Abstract
Using camera-based algorithms to detect abnormal patterns in children’s handwriting has become a promising tool in education and occupational therapy. This study analyzes the performance of a camera- and tablet-based handwriting verification algorithm to detect abnormal patterns in handwriting samples processed from 71 [...] Read more.
Using camera-based algorithms to detect abnormal patterns in children’s handwriting has become a promising tool in education and occupational therapy. This study analyzes the performance of a camera- and tablet-based handwriting verification algorithm to detect abnormal patterns in handwriting samples processed from 71 students of different grades. The study results revealed that the algorithm saw abnormal patterns in 20% of the handwriting samples processed, which included practices such as delayed typing speed, excessive pen pressure, irregular slant, and lack of word spacing. In addition, it was observed that the detection accuracy of the algorithm was 95% when comparing the camera data with the abnormal patterns detected, which indicates a high reliability in the results obtained. The highlight of the study was the feedback provided to children and teachers on the camera data and any abnormal patterns detected. This can significantly impact students’ awareness and improvement of writing skills by providing real-time feedback on their writing and allowing them to adjust to correct detected abnormal patterns. Full article
(This article belongs to the Special Issue Digital Humanities and Visualization)
►▼ Show Figures

Figure 1

19 pages, 5568 KiB  
Article
A Scientometric Study of the Stylometric Research Field
by Panagiotis D. Michailidis
Informatics 2022, 9(3), 60; https://0-doi-org.brum.beds.ac.uk/10.3390/informatics9030060 - 18 Aug 2022
Cited by 3 | Viewed by 2425
Abstract
Stylometry has gained great popularity in digital humanities and social sciences. Many works on stylometry have recently been reported. However, there is a research gap regarding review studies in this field from a bibliometric and evolutionary perspective. Therefore, in this paper, a bibliometric [...] Read more.
Stylometry has gained great popularity in digital humanities and social sciences. Many works on stylometry have recently been reported. However, there is a research gap regarding review studies in this field from a bibliometric and evolutionary perspective. Therefore, in this paper, a bibliometric analysis of publications from the Scopus database in the stylometric research field was proposed. Then, research articles published between 1968 and 2021 were collected and analyzed using the Bibliometrix R package for bibliometric analysis via the Biblioshiny web interface. Empirical results were also presented in terms of the performance analysis and the science mapping analysis. From these results, it is concluded that there has been a strong growth in stylometry research in recent years, while the USA, Poland, and the UK are the most productive countries, and this is due to many strong research partnerships. It was also concluded that the research topics of most articles, based on author keywords, focused on two broad thematic categories: (1) the main tasks in stylometry and (2) methodological approaches (statistics and machine learning methods). Full article
(This article belongs to the Special Issue Digital Humanities and Visualization)
►▼ Show Figures

Figure 1

15 pages, 1477 KiB  
Article
Metadata Integration Framework for Data Integration of Socio-Cultural Anthropology Digital Repositories: A Case Study of Princess Maha Chakri Sirindhorn Anthropology Centre
by Marut Buranarach, Watchira Buranasing, Sittisak Rungcharoensuksri, Panita Sarawasee, Treepidok Ngootip and Wirapong Chansanam
Informatics 2022, 9(2), 38; https://0-doi-org.brum.beds.ac.uk/10.3390/informatics9020038 - 27 Apr 2022
Cited by 3 | Viewed by 2601
Abstract
Data integration is one of the most challenging tasks for digital collections whose data are stored across various repositories. Data integration across digital repositories has several challenges. First, data heterogeneity in terms of data schema and data values usually occurs across diverse data [...] Read more.
Data integration is one of the most challenging tasks for digital collections whose data are stored across various repositories. Data integration across digital repositories has several challenges. First, data heterogeneity in terms of data schema and data values usually occurs across diverse data sources. Second, heterogeneity in data representation and semantic issues are among the problems. The same data may appear in different repositories with varied data representations, i.e., metadata schema. Recent research has focused on matching several related metadata schemas. In this paper, a metadata integration framework is proposed to support digital repositories in socio-cultural anthropology at the Princess Maha Chakri Sirindhorn Anthropology Centre (SAC), Thailand. The proposed framework is defined based on the Metadata Lifecycle Model (MLM). It utilizes non-procedural schema mappings to express data relationships in diverse schemas. A case study of metadata integration over the SAC digital repositories was conducted to validate the framework. The SAC common metadata schema was designed to support data mapping across 13 digital repositories. The SAC “One Search” system was developed to exemplify the system implementation of the framework. Evaluation results showed that the proposed metadata integration framework can support domain experts in socio-cultural anthropology in unified searching across the repositories. Full article
(This article belongs to the Special Issue Digital Humanities and Visualization)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop