Using Property Graphs For Developing Intelligent Warning Systems, Using Property Graphs For Dev[...]
Organisation/Company: Politecnico di Milano
Research Field: Computer science
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: Italy
Application Deadline: 28 Feb 2025 - 23:59 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? Horizon 2020
Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionAutomated monitoring systems have become essential to identify events that might trigger warnings to adopt effective countermeasures.
However, conventional data monitoring systems can be limited in their flexibility, often requiring substantial customization to apply across different domains.
This project aims to investigate the adoption of property graphs as a data model as a basis for building warning systems mechanisms.
Such mechanisms should leverage 1) graphs' ability to capture complex relationships (including those derived from deductive rule-based techniques) and 2) state-of-the-art embedding techniques powered by Large Language Models.
The objective is to learn to generate relevant warnings for critical events in any graph-based domain.
The validation will be performed on multiple domains that are naturally represented as graphs, such as legislative systems, financial transactions, ownership relations, or research networks.
Eligibility of fellowsCountry/ies of residence: AllNationality/ies:
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