Cultural Heritage and Social Pulse: A semantic approach for CH Sensitivity Discovery in social media data

摘要

The demand for real-time business intelligence and the popularity of social media offer room for synthesis. A recent topic of interest in such perspective is Cultural Heritage, as empirically evidenced, in 2015, by Twitter introduction of the hashtag #culturalheritage. The opportunities offered by linking both concepts are acknowledged in the recent scientific literature, but a relative underexposure of quantitative studies devoted to assess the potential and effectiveness of social pulses and activities for supporting organizations promoting Cultural Heritage was recorded. In this work a data driven approach is proposed. Basing on the effective employment of domain specific and general ontologies, it aims to identify a set of Key Performance Indicators (KPIs) for quantitative estimation of Cultural Heritage Sensitivity as expressed by social network users. Quantitative analysis of huge datasets of tweets, combining Natural Language Processing (NLP), semantic technologies, geo-referencing and temporal analysis, and issued in a long period of time from geographical areas of Italy having different densities of CH resources, were performed. Examples of computed measures for characterizing people's interest and sensitivity into CH subjects, are geographical density of CH resources and temporal proximity to CH-related events. Obtained results encourage a Business-Intelligence approach.