Developing a semantic content analyzer for L'Aquila social urban network

Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco De Gemmis, Fedelucio Narducci, Mauro Annunziato, Luciana Bordoni, Claudia Meloni, Franco F. Orsucci, Giulia Paoloni

Research output: Contribution to conferencePaper


This paper7presents the preliminary results of a joint research project about Smart Cities. This project is adopting a multi-disciplinary approach that combines artificial intelligence techniques with psychology research to monitor the current state of the city of L'Aquila after the dreadful earthquake of April 2009. This work focuses on the description of a semantic content analysis module. This component, integrated into L'Aquila Social Urban Network (SUN), combines Natural Language Processing (NLP) and Artificial Intelligence (AI) to deeply analyze the content produced by citizens on social platforms in order to map social data with social indicators such as cohesion, sense of belonging and so on. The research carries on the insight that social data can supply a lot of information about latent people feelings, opinion and sentiments. Within the project, this trustworthy snapshot of the city is used by community promoters to proactively propose initiatives aiming at empowering the social capital of the city and recovering the urban structure which has been disrupted after the 'diaspora' of citizens in the so called "new towns".
Original languageEnglish
Publication statusPublished - 2014
Event5th Italian Information Retrieval Workshop, IIR 2014 - Roma, Italy
Duration: 1 Jan 2014 → …


Conference5th Italian Information Retrieval Workshop, IIR 2014
Period1/1/14 → …


All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Musto, C., Semeraro, G., Lops, P., De Gemmis, M., Narducci, F., Annunziato, M., ... Paoloni, G. (2014). Developing a semantic content analyzer for L'Aquila social urban network. Paper presented at 5th Italian Information Retrieval Workshop, IIR 2014, Roma, Italy.