A semantic model to fight social exclusion

Victor Alejandro Ortiz, Montserrat Estanol, Maria Cristina Marinescu, Maria Ribera Sancho, Ernest Teniente, Carmen Rueda

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
EditoresLoli 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
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas730-731
Número de páginas2
ISBN (versión digital)9781728151250
DOI
EstadoPublicada - sept 2019
Publicado de forma externa
Evento22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 - Munich, Alemania
Duración: 15 sept 201920 sept 2019

Serie de la publicación

NombreProceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019

Conferencia

Conferencia22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
País/TerritorioAlemania
CiudadMunich
Período15/09/1920/09/19

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