Mapping LGBTQ+-related thesauri
Semantic interoperability
LGBTQ+ Case Study Infobox
- Author: Clair Kronk (@Superraptor)
- Last updated: 2025-04-27
- Mapping Type:
- Status of this case study:
Mapping LGBTQ+-related thesauri into an accompanying ontology.
Domain¶
LGBTQ+ studies
Purpose of the mapping¶
Semantic interoperability
Other purpose of the mapping¶
This mapping will produce a new ontology, but it should be usable both as an ontology and as a thesaurus
Type of mapped resources¶
Most resources included are ontologies (FMA, MONDO, DO, GSSO), classification schemes (ICD, DSM), thesauri (Homosaurus) , or subject heading schemes (LCSH, MeSH). However, this resource is built in Wikibase (https://lgbtdb.wikibase.cloud/wiki/Main_Page) and therefore also includes thousands of resources that are cited for each relationship. More information can be found here.
Links to an existing mappings¶
We are currently using hundreds of mapping documents, including:
- LCSH/MeSH Mapping Project (https://github.com/galterlibrary/mapping-project)
- LCSH mappings to ISNI, VIAF, Wikidata, etc.
- Homosaurus mappings to LCSH and to previous and future versions of the Homosaurus
- Wikidata mappings occasionally
- ICD-10/11 mappings (from WHO)
- ICD-9-CM/ICD-10-CM mappings (from U.S. government)
- DC Mappings to Schema.org
- SNOMED International Mapping Tool (for mappings from SNOMED to ICD-10)
- Research Metadata Schema Crosswalk Mappings to Schema.org
- Dublin Core to PROV Mapping
- DC type mapping to CIDOC/CRM
- DCAT-AP to Schema.org Mapping
- SUMO-OWL to YAGO (https://github.com/ontologyportal/sumo/)
- SUMO-OWL to DBpedia (https://github.com/ontologyportal/sumo/)
- DBpedia to Wikidata
- A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases
- DataCite to DCAT-AP Mapping
- Mapping the Provenance Ontology to Basic Formal Ontology (https://doi.org/10.48550/arXiv.2408.03866)
Among a number of others.
Tools used for creating the mapping¶
Manual mapping.
Type of mapping relations¶
Entity mappings, usually one-to-one but occasionally one-to-many.
Examples (samples) of different types of mapping implementations¶
Mapping is performed manually based on pre-existing published mappings. If some mappings do not function (i.e. they are not logically or semantically interoperable) they are still added and cited, but deprecated.