A semantic model to fight social exclusion

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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

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 originalAnglès
Títol de la publicacióProceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
EditorsLoli 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
EditorInstitute of Electrical and Electronics Engineers Inc.
Pàgines730-731
Nombre de pàgines2
ISBN (electrònic)9781728151250
DOIs
Estat de la publicacióPublicada - de set. 2019
Publicat externament
Esdeveniment22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 - Munich, Germany
Durada: 15 de set. 201920 de set. 2019

Sèrie de publicacions

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

Conferència

Conferència22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
País/TerritoriGermany
CiutatMunich
Període15/09/1920/09/19

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