Tag: Knowledge graph
A knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts.
The Kairntech solution contains off-the-shelf models to extract entities from Wikidata, a well-know knowledge graph. These models speed up the document labeling process, and can be used to either pre-annotate or improve the quality of existing labels.
The linking of entities is a powerful way to improve overall quality.
How to use Wikidata to detect entities? – Kairntech Documentation
More on configuring Wikidata annotators – Kairntech Documentation
Examples to configure specific Wikidata annotators – Kairntech Documentation
Models are also created to extract relations between entities. These relation can then be used to enrich knowledge graphs. A good example is the Kairntech partnership with Fraunhofer SCAI.
Kairntech | Fraunhofer SCAI and Kairntech publish joint work about analysing scientific information
Semantic fingerprints for IPTC classification
Information providers need to add value to the content they are producing. But tagging and classifying content to enrich internal knowledge bases is tedious, time consuming and error prone. Yet these knowledge bases are the cornerstone of value-added services. The patent-pending semantic fingerprints for IPTC classification from Kairntech provides a smart solution for multilingual text…
Kairntech wins European Defense Fund project
We are proud to announce that Kairntech wins a European Defense Fund (EDF) project. This call for projects received in total €1,031 million of EU funding. Kairntech is a leading technology provider of the NEMO consortium which is led by Sintef AS (Norway). Over the course of this 5-year project NEMO will develop a state-of-the-art…
COMMUTE project kick-off
Kairntech empowers EU-funded COMMUTE project that explores links between Covid and neurogenerative diseases Bonn, Dec 14-15. The EU Research project COMMUTE (“COMORBIDITY MECHANISMS UTILIZED IN HEALTHCARE”) has been kicked off. The participants met at a two day meeting at the International Center of Information Technology (B-IT) at University Bonn. Hosted and coordinated by the Fraunhofer…
Fraunhofer SCAI and Kairntech publish joint work about analysing scientific information
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. The title is: “A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs”. Lead author Negin Babaiha and her colleagues outline…
Kairntech to contribute knowledge graph enrichment to EU-funded COMMUTE project
Submission successful – project to start in Dec 2023 Good news from Bruxelles: The research proposal on knowledge graph enrichment for project COMMUTE got accepted with pretty good grades. Starting December 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…
Public Neo4J demo with Kairntech-powered content
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…
Kairntech chosen as NLP/AI platform to support research on Open Innovation
Grenoble/Stuttgart March 6, 2023 – For their upcoming research project on Open Innovation, funded by the German Bundesland Baden-Württemberg, Fraunhofer IAO and TecIntelli have selected the AI/NLP platform from Kairntech. Kairntech will support the relevant large-scale analysis of web content and scientific publications in order to derive insights into trends and options around innovation processes.…
Automatic knowledge graph creation from scientific Literature
Kairntech and Fraunhofer SCAI presented joint work on knowledge graph creation during a webinar on June 8, 2022 You can find the recording of the webinar here. Harvesting the knowledge about the interactions between genes, proteins, drugs and diseases from scientific literature is a labor-intensive task. Knowledge graph databases are a powerful tool to allow…
Webinar: Creating and updating biomedical Knowledge Graphs with AI/NLP
June 8th, 2022 @ 4pm CET Knowledge Graphs are a powerful and increasingly popular approach to represent complex knowledge and to support analysis and the discovery of new facts. Knowledge Graphs offer themselves for the integration of insights from structured databases, manually curated data and batches of facts derived from large-scale document analysis. However, creating…
Fraunhofer SCAI and Kairntech succeed with AI-powered Relation Extraction for Indication-Specific Knowledge Graph assembly
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…