1. Fostering the Creation of Personalized Content for Cultural Visits
- Author
-
Riccardo De Benedictis, Gabriella Cortellessa, Amedeo Cesta, Augusto Palombini, Carla Limongelli, Carlo De Medio, De Benedictis, R., De Medio, C., Palombini, A., Cortellessa, G., Limongelli, C., and Cesta, A.
- Subjects
Artificial intelligence ,Technology ,Computer science ,QH301-705.5 ,QC1-999 ,educational technology ,Intelligent tutoring system ,Personalization ,Domain (software engineering) ,AI modules integration ,World Wide Web ,General Materials Science ,Relevance (information retrieval) ,Biology (General) ,Instrumentation ,QD1-999 ,personalization ,Fluid Flow and Transfer Processes ,Process Chemistry and Technology ,Physics ,Frame (networking) ,General Engineering ,Educational technology ,cultural heritage ,Engineering (General). Civil engineering (General) ,artificial intelligence ,Computer Science Applications ,Cultural heritage ,Chemistry ,Licensee ,TA1-2040 - 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Published
- 2021
- Full Text
- View/download PDF