NLP, Statistics and Graph Methods for Information Extraction and Analysis of Biodiversity Data
2023 | thesis; master thesis. A publication with affiliation to the University of Göttingen.
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Documents & Media
Details
- Authors
- Koynov, Radoslav
- Referee
- Wieder, Philipp
- Abstract
- Various statistical and supervised machine learning models are used to extract structured biodiversity information and extend an existing information base, GIFT. A Neo4J database is modelled to accomodate existing and newly extracted information. This provides a new look on the available information and lets us explore graph algorithms to explore relationships among species and associated trait values.
- Issue Date
- 2023
- Organization
- Fakultät für Mathematik und Informatik
- Extent
- 89
- Language
- English
- Subject(s)
- classification; information extraction; knowledge; graph database; neo4j; Biodiversity; natural language processing
