Large graph analysis
- Label propagation-based approaches for large graph partitioning
- Sampling-based algorithms for Balanced Graph Partitioning
- Learning combining graph topology, structured and unstructured information
- Digital identity discovery and reconciliation for human resources management
- Reconciliation of profiles across social networks, through dynamic activities
- Analysing user interests in Social Networks
- Discovering missing and wrong links in Wikipedia
Information extraction from heterogeneous data sources - huge, structured, text, images, noisy, …
- Ontology-based annotation; Knowledge Base Enrichment; Named entity recognition; Schema alignment; Machine learning based approaches