Technical component
Domain-agnostic named-entity recognition and linking for SKG enrichment
The domain-agnostic named-entity recognition and linking for SKG enrichment is a set of models designed to identify mentions of key concepts or entities relevant to a research community within the texts of publications and/or other documents available in the corresponding SKG.
These models also normalise the identified mentions to their canonical forms based on specific taxonomies. This ensures consistency and enhances the usability of the extracted information. Each model operates independently and is tailored to specific domain needs. However, the overall framework is built to support seamless integration of entities from new research communities, making it flexible and adaptable for diverse applications.
Functionalities
Geographical entity recognition and classification of mention intent: github.com/sirisacademic/geordie
NER+NEL enrichment pipeline for all project pilot domains: https://github.com/sirisacademic/scilake-enrichments
