A semantic model to fight social exclusion

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

Research output: Book chapterConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings - 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages730-731
Number of pages2
ISBN (Electronic)9781728151250
DOIs
Publication statusPublished - Sept 2019
Externally publishedYes
Event22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 - Munich, Germany
Duration: 15 Sept 201920 Sept 2019

Publication series

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

Conference

Conference22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019
Country/TerritoryGermany
CityMunich
Period15/09/1920/09/19

Keywords

  • Modeling
  • Self-suffiency-matrix
  • Semantic-technologies
  • Social-exclusion

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