TY  - CONF
A1  - Weiland, Claus
A1  - Driller, Christine
A1  - Koch, Markus
A1  - Schmidt, Marco
A1  - Abrami, Giuseppe
A1  - Ahmed, Sajawel
A1  - Mehler, Alexander
A1  - Pachzelt, Adrian
A1  - Kasperek, Gerwin
A1  - Hausinger, Angela
A1  - Hörnschemeyer, Thomas
A2  - Jitendra, Gaikad
A2  - König-Ries, Birgitta
A2  - Recknagel, Friedrich
T1  - BIOfid, a platform to enhance accessibility of biodiversity data
T2  - Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world : ICEI 2018. 24-28 September 2018, Jena, Germany / International Conference on Ecological Informatics ; Herausgeber: Jitendra Gaikwad, Birgitta König-Ries, Friedrich Recknagel
N2  - With the ongoing loss of global biodiversity, long-term recordings of species distribution patterns are increasingly becoming important to investigate the causes and consequences for their change. Therefore, the digitization of scientific literature, both modern and historical, has been attracting growing attention in recent years. To meet this growing demand the Specialised Information Service for Biodiversity Research (BIOfid) was launched in 2017 with the aim of increasing the availability and accessibility of biodiversity information. Closely tied to the research community the interdisciplinary BIOfid team is digitizing data sources of biodiversity related research and provides a modern and professional infrastructure for hosting and sharing them. As a pilot project, German publications on the distribution and ecology of vascular plants, birds, moths and butterflies covering the past 250 years are prioritized. Large parts of the text corpus defined in accordance with the needs of the relevant German research community have already been transferred to a machine-readable format and will be publicly accessible soon. Software tools for text mining, semantic annotation and analysis with respect to the current trends in machine learning are developed to maximize bioscientific data output through user-specific queries that can be created via the BIOfid web portal (https://www.biofid.de/). To boost knowledge discovery, specific ontologies focusing on morphological traits and taxonomy are being prepared and will continuously be extended to keep up with an ever-expanding volume of literature sources.
KW  - bio-ontologies
KW  - text mining
KW  - machine learning
KW  - specialised information service
KW  - biodiversity knowledge base
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/49922
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-499222
SP  - 251
EP  - 252
PB  - Friedrich Schiller University Jena
CY  - Jena
ER  -