Analysis of Family Relationships of the Characters in the SrpELTeC Corpus Based on Semantic Web Techniques and Textometry.
Published In: Infotheca: Journal for Digital Humanities, 2025, v. 25, n. 1/2. P. 7 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Nešić, Milica Ikonić 3 of 3
Abstract
This paper presents an analysis of family relationships of characters in the SrpELTeC collection of Serbian novels published between 1840 and 1920, using a textometric approach and semantic web techniques. The study explores the appearance of family relationships between literary characters in the corpus in regards to the periods in which the novels were written, as well as to the authors of the novels. Taking into account the overlap between the literary movements of Romanticism and Realism during the aforementioned periods, the analysis examines in which direction family relationships are more prevalent, and whether male characters are more represented than female characters in the collection. Visualizations of the relationships between characters are presented through linking the characters with novels in Wikidata and by expressing SPARQL queries, as well as through the network analysis using the Gephi tool. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Infotheca: Journal for Digital Humanities. 2025/12, Vol. 25, Issue 1/2, p7
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2025
- ISSN:1450-9687
- DOI:10.18485/infotheca.2025.25.1_2.1
- Accession Number:192524765
- Copyright Statement:Copyright of Infotheca: Journal for Digital Humanities is the property of University of Belgrade, Faculty of Philology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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