Biodiversity Information Science and Standards : Conference Abstract
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Corresponding author: Felicitas Löffler (felicitas.loeffler@uni-jena.de), Birgitta König-Ries (birgitta.koenig-ries@uni-jena.de)
Received: 12 Jun 2019 | Published: 18 Jun 2019
© 2019 Felicitas Löffler, Birgitta König-Ries
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Löffler F, König-Ries B (2019) What's in this Collection Dataset? Semantic Annotation with GATE. Biodiversity Information Science and Standards 3: e37184. https://doi.org/10.3897/biss.3.37184
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Semantic annotations of datasets are very useful to support quality assurance, discovery, interpretability, linking and integration of datasets. However, providing such annotations manually is often a time-consuming task . If the process is to be at least partially automated and still provide good semantic annotations, precise information extraction is needed. The recognition of entity names (e.g., person, organization, location) from textual resources is the first step before linking the identified term or phrase to other semantic resources such as concepts in ontologies. A multitude of tools and techniques have been developed for information extraction. One of the big players is the text mining framework GATE (
semantic annotation, collection data, GATE
Felicitas Löffler
Biodiversity_Next 2019