Work

Knowledge management technologies to support Health research

Year: 2025

Type: article

Abstract: In the context of the smartHEALTH project for the company flowcytogen, the team of the ATHENA RC uses Information Retrieval, Text Mining and Knowledge Graph technologies to collect, integrate, store and search knowledge relevant to the company's research topics. The action includes the creation of a corporate Knowledge Graph, training of employees in the relevant technologies and the integration of the solution into the BIP! Spaces interface of ATHENA RC for easy access and exploration of available scientific information, with a focus on the study of HPV virus types. Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15608329

Authors: Vergoulis, Thanasis, Chatzopoulos, Serafeim, Koloveas, Paris, Maria Makaronidou

Institutions: Athena Research and Innovation Center In Information Communication & Knowledge Technologies, University of Peloponnese, Aristotle University of Thessaloniki

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: G7550816225