We strive to explore various research areas of emerging technologies through conceptual and practical means
Research – Novelcore – Research & Innovation
KEY RESEARCH AREAS
We advance decision making support technologies for the needs of large-scale problems by adopting a knowledge-based decision-making view.
We operate an AI-augmented Data Orchestrator to enable information sharing across organizations, systems and data sources.
We deliver the graph-of-docs representation on knowledge graphs, where multiple textual documents are depicted in a single graph.
We automatically extract arguments from problem related textual corpora to provide meaningful structured data for the reasoning engines delivered.
We predict potential relationship types between nodes of a knowledge graph by employing a wide range of link prediction and ML techniques.
We adopt a participatory process to trail deliberation technologies with the stakeholders by adopting an integrated DevOps- MLOps approach.
We predict potential relationship types between nodes of a knowledge graph by employing a wide range of link prediction and ML techniques upon the investigating setting.
We offer diverse explainability and reporting functionalities in our AI modules by utilizing the knowledge graph structure, contents and semantics.
We generate custom datasets for training purposes of ML pipelines and fine tuning of AI models, while addressing missing data and their metadata, reducing bias and improving the quality of conclusions
APPLIED EXPERTISE
Machine Learning
Neural Networks
Artificial Intelligence
Distributed Ledger
Distributed Computing
System Dynamics
Smart Data Structures
Knowledge Graphs
Data Handling
DOMAIN AREAS
eGovernment
We develop efficient eGovernance models to address the challenges that governance structures in the EU are currently facing towards the democratization and openness of the public administration services.
Health
We design novel decision making models for cross-sector healthcare experts, healthcare providers and patients, based on data driven results using Machine Learning and Artificial Intelligence technologies.
Earth Observations
Following the growing trends in the development of innovative tools, services and methodologies that utilize Earth Observations, we design and develop semantically enhanced knowledge graphs that enable structuring of content in climate-related applications.
Water Management
We develop open and transparent governance frameworks, supported by AI-augmented computational solutions to effectively engage all actors towards the definition of novel water governance schemes and water management practices.
PROJECTS
BIO-STREAMS
Website: www.bio-streams.eu
ALLIES
Website: www.alliesproject.com/
