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Extraction of Character Profiles from the Gutenberg Archive

Insight>Publications>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:

Semantic Web

Institution:

National University of Ireland, Galway (NUIG)

Open access repository:

No

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