Unsupervised Learning of Semantic Relations between Concepts of a Molecular Biology Ontology

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “[186] presented an unsupervised model to learn semantic relations from text, hypothesizing that semantically related words co-occurmore frequently.”
Modelling Ontology Evaluation and Validation (2006, background): “Recent work has focused also on discovering class attributes and arbitrary relation between classes through automatic or semi-automatic population of ontology objects (see [1], [5], and [4]).”
Ontology Design Patterns for Semantic Web Content (2005, methodology): “in fishery information systems [10], insurance CRM, biomedical ontology integration [9], anti-money-laundering systems for banks [30], service-level agreements for information systems, biomolecular ontology learning [3], legal norms formalization, and management of digital content [26].”
Ontology Learning from Text: An Overview (2005, background): “Most of the work on text mining combines statistical analysis with more or less complex levels of linguistic analysis, e.g. by exploiting syntactic structure and dependencies for relation extraction as reported for instance by [4], [8] and [15].”