EXTRACT 2.0: text-mining-assisted interactive annotation of biomedical named entities and ontology terms
| Autor: | Lars Juhl Jensen, Bērziņš R, Pafilis E |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0303 health sciences
Information retrieval Computer science business.industry 030302 biochemistry & molecular biology Ontology (information science) computer.software_genre 03 medical and health sciences Annotation Text mining Named-entity recognition Ontology business computer Host (network) Scope (computer science) 030304 developmental biology |
| DOI: | 10.1101/111088 |
| Popis: | The original version of EXTRACT was designed to support annotation of metagenomic samples with semantically con-trolled environmental descriptors (Pafilis et al., 2016). For this reason, it focused on named entity recognition of terms from the Environment Ontology (ENVO) and ontologies relevant for describing host organisms, tissues, and disease states. EXTRACT 2.0 expands the scope of the tool in several new directions with the aim to make it more broadly useful. |
| Databáze: | OpenAIRE |
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