Fostering the Creation of Personalized Content for Cultural Visits

Abstract

Among more dramatic effects, the COVID-19 scenario also raised the need for new online information and communication services, promoting the spread of software solutions whose usefulness will last well beyond the pandemic situation. Particularly in the cultural heritage domain, it has been unveiled the relevance of new AI-based approaches, able to dynamically aggregate information and making them available for a customized fruition aimed to the individual cultural growth. Here, we integrate machine learning techniques for the automatic generation of contents for an intelligent tutoring system grounded on automated planning techniques. We present a solution for semantic, intelligent creation of personalized cultural contents, born as a lesson-making assistant, but developed as to become a multi-function “cultural crossover”, useful in the frame of a wide range of planning, dissemination, and managing activities for cultural heritage contents.

Designing a system to chart the development of the UK museum sector: an iterative approach

“…There has been much work on digitizing and publishing data about cultural heritage collections, for example through an integrative semantic portal (Hyvönen et al, 2005), through translation of cultural heritage metadata into linked open data (Haslhofer et al, 2011;De Boer et al, 2012;Matsumura et al, 2012;Knoblock et al, 2017) and through the development of specialist ontologies and knowledge bases (Schmitz and Black, 2008;Brownlow et al, 2015;Carriero et al, 2019). Other works on digitizing museum-related information include sharing of museum visit experiences via web and smartphone apps, digital bookmarking, or real-time video (Kostoska et al, 2013;Pisoni et al 2020), digitization of historical archives (Colla et al, 2021), and application of machine-learning approaches to automatically generate cultural heritage content or metadata utilising public resources such as Wikipedia and Wikidata (De Benedictis et al, 2021;Colla et al, 2021). In contrast to such works, the MM project aims to support experts' research into the history, status and development of a whole museum sector.…”

“…Beyond the scope of our work is the personalization of online content and functionality towards the needs, preferences and context of individual or groups of users, c.f. the adaptive mobile museum guide of Petrelli and Not, 2005, the personalization of museum websites, virtual collections and visitor guides discussed by Ardissono et al, 2012, and the personalized cultural heritage lesson planner of De Benedictis et al, 2021. This would be an interesting direction of future enhancement of the MM system.…”