Yet another paper on AI/NLP -powered knowledge graph creation Elsevier’s “Artificial Intelligence in the Life Sciences" is to publish another text from Fraunhofer SCAI with contributions from Kairntech about "A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs”. Lead author Negin Babaiha and her colleagues outline the architecture … Continue reading Fraunhofer SCAI and Kairntech publish joint work about analysing scientific information
Tag: Relation Extraction
Submission successful - project to start in Dec 2023. Good news from Bruxelles: The research proposal for project COMMUTE got accepted with pretty good grades. Starting Dec 2023 Kairntech will work with a fine team of research organisations from Cambridge, Amsterdam, Barcelona and led by Martin Hofmann-Apitius from Fraunhofer SCAI in Sankt Augustin on applying … Continue reading Kairntech to contribute text2graph capabilities to EU-funded project “COMMUTE”
As reported here, Kairntech has been working together with Fraunhofer SCAI to generate Knowledge Graphs by automatic relation extraction from scientific content. The output is this project was BEL, a graph language, specifically designed for the expression of biomedical facts. Another popular format to express, store and exchange Knowledge Graphs evidently is Neo4J's Cypher: Kairntech … Continue reading Public Neo4J demo with Kairntech-powered content
Kairntech participated with presentation about automatic relation extraction for Knowledge Graph construction For the 20th anniversary of the B-IT at University of Bonn, Prof Martin Hofmann-Apitius and Prof Holger Fröhlich had invited alumnis of the programs Life Science Informatics and Computational Life Sciences as well as participants from industry and politics for a two event … Continue reading Symposium “AI in the Life Sciences”, Bonn, Germany, June 26+27