The growing demand for Cultural Heritage fruition is making it a major economic driver, also in connection with its tourism-related aspects. The current solutions available on the Web are still unable to provide satisfactory support to the various kinds of stakeholders and to the different applications. The History of Computing, as a peculiar, relevant and currently underinvestigated branch of Cultural Heritage, raises additional challenges and provides new opportunities, also in connection with a significant economic flow it generates. The variety and complexity of issues connected to this domain call for even more advanced solutions. In this paper we introduce the CHIPS&BITS project, which tackles these problems using a knowledge-based approach and leverages a novel framework that can meet the needs associated to this specific domain in a better way compared to standard Semantic Web approaches. We describe the contributions of the project to overcome the limitations of the state of the art, and focus on some of its more peculiar and original features, among which the definition of suitable ontologies to describe the complexity of the domain and the use of Artificial Intelligence algorithms for giving the users an advanced and personalized experience.
Knowledge Graphs for the Web Economy: The CHiPS&BITS Project on Cultural Heritage
Di Nunzio G. M.
2025
Abstract
The growing demand for Cultural Heritage fruition is making it a major economic driver, also in connection with its tourism-related aspects. The current solutions available on the Web are still unable to provide satisfactory support to the various kinds of stakeholders and to the different applications. The History of Computing, as a peculiar, relevant and currently underinvestigated branch of Cultural Heritage, raises additional challenges and provides new opportunities, also in connection with a significant economic flow it generates. The variety and complexity of issues connected to this domain call for even more advanced solutions. In this paper we introduce the CHIPS&BITS project, which tackles these problems using a knowledge-based approach and leverages a novel framework that can meet the needs associated to this specific domain in a better way compared to standard Semantic Web approaches. We describe the contributions of the project to overcome the limitations of the state of the art, and focus on some of its more peculiar and original features, among which the definition of suitable ontologies to describe the complexity of the domain and the use of Artificial Intelligence algorithms for giving the users an advanced and personalized experience.
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