Extraction of Character Profiles from the Gutenberg Archive
Authors:
Mattia Egloff, Davide Picca, Alessandro Adamou
Publication Type:
Refereed Conference Meeting Proceeding
Abstract:
Online text repositories such as Gutenberg.org have been increasing in number, size and adoption. This growing availability prompts new investigations for insights into the knowledge emerging from the content of e.g. literature and drama. However, the process relies upon the repositories’ ability to fulfill FAIR principles. We present the preparatory work on the semantic analysis of drama literature in Gutenberg, aiming at the extraction and profiling of fictional characters and their narrative roles. Our preliminary analysis matches such characters and their corresponding profiles in knowledge bases such as DBpedia and Wikidata.
Conference Name:
MTSR 2019: Metadata and Semantic Research
Proceedings:
Communications in Computer and Information Science
Digital Object Identifer (DOI):
10.1007/978-3-030-36599-8_32
Publication Date:
04/12/2019
Volume:
1057
Pages:
367-372
Conference Location:
Italy
Research Group:
Institution:
National University of Ireland, Galway (NUIG)
Open access repository:
No