Named Entity Reconciliation Environment (NERVE)
NERVE (the Named Entity Reconciliation Vetting Environment) assists with identifying and linking named entities within documents, using machine-learning-based technology for efficiency and incorporating human judgement to ensure high-quality semantic markup and reconciliation of named entities within documents.
NERVE performs automated named entity recognition (NER): it automatically determines fragments of texts that may represent named entities (such as people, places, and organizations) based on the grammatical structure of a document. It then allows you to review proposed named entity candidates and match them to external identifiers, or Uniform Resource Identifiers (URIs), to support interoperability and linked open data creation.
NERVE tags approved entities using appropriate TEI (Text-Encoding Initiative) XML markup and/or creates Web Annotations in RDF to identify the named entities in the document. The resulting Linked Open Data can be contributed to the Semantic Web.
Like other tools in the LEAF Commons tool suite, NERVE allows you to open an XML file from your desktop or from the Cloud via a GitHub repository. This flexibility supports solo editing or collaboration with colleagues. For general semantic editing of TEI XML documents, including tagging entities not recognized up by NERVE, use theLEAF-Writer editor.