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: Knowledge Graph
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”
A Knowledge Graph for psychiatric disorders SANKT AUGUSTIN. The Fraunhofer Institute for Algorithms and Scientific Computing SCAI and the software company Kairntech (Grenoble) have created a knowledge graph for psychiatric disorders, especially psychoses. Knowledge graphs allow unstructured texts to be represented in a structured, comparable format. They visualize cause-and-effect models to help medical professionals … Continue reading Fraunhofer SCAI and Kairntech succeed with AI-powered Relation Extraction for Indication-Specific Knowledge Graph assembly
Introduction Information extraction tends to target two situations: Extract entities from an existing vocabulary, or Create an extraction model from scratch when there is no existing vocabulary. However, sometimes the situation is a mixture of the two extremes: an incomplete business vocabulary exists but needs to be completed with relevant additional entities of the same type. … Continue reading Bootstrap World Knowledge to extend Business Vocabulary and enhance Knowledge Graphs