Abstract
This work presents a semantic model meant to help with the identification and prediction of individuals at risk of social exclusion. The model is based on the self-sufficiency matrix, a tool that evaluates a person's self-sufficiency in different areas, and that is used by Barcelona's City Council. Existing data sources can then be mapped to this model, in order to analyze, query, and visualize the data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 |
| Editors | Loli Burgueno, Loli Burgueno, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jorg Kienzle, Markus Volter, Sebastien Gerard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 730-731 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781728151250 |
| DOIs | |
| Publication status | Published - Sept 2019 |
| Externally published | Yes |
| Event | 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 - Munich, Germany Duration: 15 Sept 2019 → 20 Sept 2019 |
Publication series
| Name | Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 |
|---|
Conference
| Conference | 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 15/09/19 → 20/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Modeling
- Self-suffiency-matrix
- Semantic-technologies
- Social-exclusion
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