Title
Enriching comic book and graphic novel metadata using Linked Open Data; a pilot study for comics about mental health
Start Date
18-7-2022 1:00 PM
End Date
18-7-2022 2:00 PM
Description
Comic books and graphic novels represent a narrative format that is both easily understandable and accessible, making the medium a great form of “graphic medicine” for communicating healthcare information. However, metadata describing comics publications have not been well-connected with subject headings or descriptors for the narrative content itself by using the health-related knowledge organization systems (including taxonomies, classification systems, thesauri, subject headings, and ontologies) which often define and explain specific symptoms, treatment side-effects, etc. Enriching existing comics metadata with Linked Open Data (LOD) vocabularies offers an opportunity to enhance the discoverability of relevant comics material and content for patients, care givers, and providers. This pilot study presents an example of creating LOD for States of Mind, a graphic novel about bipolar disorder.
Conference Paper Abstract: Comic books and graphic novels represent an accessible and relatable form of “graphic medicine” for sharing healthcare information and stories, and graphic narratives about mental health can be an especially valuable resource often visualizing personal memoirs of illness and recovery. However, the metadata for comics publications often excludes detailed health-related subject access and structured descriptions of the content which may illustrate specific symptoms, treatments, side-effects, and other relevant topics. The implementation of Linked Open Data (LOD) resources and vocabularies like Schema.org and the Comic Book Ontology (CBO) offers an opportunity to enrich comics metadata, and enhance the discoverability of relevant comics material for patients, caregivers, and providers by referencing health-related knowledge organization systems (including taxonomies, classification systems, thesauri, subject headings, and ontologies) found in repositories like BioPortal. This pilot study presents an example of creating LOD for States of Mind—a graphic novel about bipolar disorder—by applying the approach of semantic enrichment commonly used by libraries, archives, and museums to transform data into smart data, enhancing its discoverability and reuse. The results of this study include an RDF graph representing an index of the work and its relevant content linked to 37 additional medical subject terms, and 11 LOD healthcare vocabularies and ontologies. All data, scripts, and templates produced by this pilot study have been made freely available with an open license in a companion GitHub repository: https://github.com/comicmeta/LOD-MentalHealth.
petiya-csps-2022-poster.pdf (2258 kB)
Poster Presentation
Enriching comic book and graphic novel metadata using Linked Open Data; a pilot study for comics about mental health
Comic books and graphic novels represent a narrative format that is both easily understandable and accessible, making the medium a great form of “graphic medicine” for communicating healthcare information. However, metadata describing comics publications have not been well-connected with subject headings or descriptors for the narrative content itself by using the health-related knowledge organization systems (including taxonomies, classification systems, thesauri, subject headings, and ontologies) which often define and explain specific symptoms, treatment side-effects, etc. Enriching existing comics metadata with Linked Open Data (LOD) vocabularies offers an opportunity to enhance the discoverability of relevant comics material and content for patients, care givers, and providers. This pilot study presents an example of creating LOD for States of Mind, a graphic novel about bipolar disorder.