A semantic model to fight social exclusion
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hdl:2117/186951
Document typeConference lecture
Defense date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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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.
CitationOrtiz, V. [et al.]. A semantic model to fight social exclusion. A: International Conference on Model Driven Engineering Languages and Systems. "2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion: 15–20 September 2019, Munich, Germany: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 730-731.
ISBN978-1-7281-5125-0
Publisher versionhttps://ieeexplore.ieee.org/document/8904547
Collections
- Doctorat en Computació - Ponències/Comunicacions de congressos [62]
- Computer Sciences - Ponències/Comunicacions de congressos [597]
- IMP - Information Modeling and Processing - Ponències/Comunicacions de congressos [98]
- Computer Applications in Science & Engineering - Ponències/Comunicacions de congressos [84]
- Departament d'Arquitectura de Computadors - Ponències/Comunicacions de congressos [1.976]
- Departament d'Enginyeria de Serveis i Sistemes d'Informació - Ponències/Comunicacions de congressos [537]
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