Information-Architecture on emsenn.net

Biomedical Ontologies

Thu, 05 Mar 2026 00:00:00 +0000

Biomedical ontologies are formal classification systems that organize biological and medical knowledge into machine-processable structures. They are among the most successful applications of the Semantic Web’s core technologies — and they succeed precisely because their domain warrants the rigidity those technologies impose.

The Gene Ontology (GO), launched in 1998 and described by Ashburner et al. in 2000, is the paradigmatic case [@ashburner2000]. GO provides a controlled vocabulary for describing gene products across species: their molecular functions, the biological processes they participate in, and the cellular components where they are active. When a researcher in Tokyo annotates a mouse gene with a GO term and a researcher in Toronto queries for human genes with the same annotation, the term means the same thing in both contexts. That semantic stability enables cross-species comparison, large-scale data integration, and automated inference at a scale that informal vocabularies cannot support.

Semantic Web, Jiangshi Web

Thu, 05 Mar 2026 00:00:00 +0000

¶Abstract

The Semantic Web did not fail. RDF graphs are queried daily, knowledge graphs underpin search engines, biomedical ontologies coordinate research across institutions. The problem is not that the Semantic Web stopped working but that it works in a particular way — data circulates, queries execute, triples accumulate, and none of it can question whether its own categories still fit.

Chinese folklore has a figure for this condition: the jiangshi (僵尸), the hopping corpse. A body whose joints have locked, animated by residual vital energy but incapable of flexible movement. The jiangshi is not dead. Its problem is more specific: it cannot change how it moves.

controlled vocabulary

Sun, 01 Mar 2026 00:00:00 +0000

A controlled vocabulary is a curated, maintained list of terms used for labeling, indexing, and categorizing content within a collection. Its purpose is consistency: ensuring that the same concept is always referred to by the same term, and that different concepts are not accidentally given the same label.

Controlled vocabularies range in complexity:

Term lists: flat lists of approved terms (e.g., a list of valid tags for a knowledge base).
Taxonomies: hierarchical arrangements of terms with broader/narrower relationships.
Thesauri: terms with broader, narrower, related, and “use for” relationships (e.g., Library of Congress Subject Headings).
Ontologies: formal specifications of classes, properties, and relationships, often machine-readable (e.g., OWL ontologies for the semantic web).

Controlled vocabularies require maintenance [@hedden_AccidentalTaxonomist_2016]. As a collection grows, new terms are needed, old terms become obsolete, and relationships between terms shift. Without maintenance, the vocabulary drifts and consistency degrades.