Abstract
The paper illustrates the basic features of a framework where knowledge is associated to geographic maps, to link geographical elements with geo and temporal-referenced contents. Among the key features, multimedia contents management and adaptivity to different application contexts are the most relevant. We propose a mixed approach to classify stored contents that combines natural language processing, based on a machine learning technique, with a human expert intervention. A dynamically configured user navigation is thereafter based on the classified contents and supported by a domain-specific ontology. Sample envisioned application areas are history, material and immaterial cultural heritage, architecture and urban planning, business intelligence, health, or citizen journalism. We provide some examples in the contexts of cultural heritage and journalism, which we are currently using as a testbed.
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Acknowledgment
This work was partially supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 826232, project WorkingAge (SmartWorking environments for all Ages). We acknowledge the ILAUD (https://www.ilaud.org/ilaud-week-cities-under-shocks-stresses-2021/) participants in the Dergano Workshop held in Milano, July 19–23, 2021, where urban design participatory design has been debated with administrators and citizens, also on the idea of a digital framework for Milano map enrichment towards participation of people to urban assessment. In particular, we are thankful to Prof. Pilar Maria Guerrieri and Prof. Sara Comai for their work on maps and participatory design.
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Fugini, M., Finocchi, J., Rossi, E. (2022). Semantic Adaptive Enrichment of Cartography for Intangible Cultural Heritage and Citizen Journalism. In: Arai, K. (eds) Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-030-98012-2_14
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DOI: https://doi.org/10.1007/978-3-030-98012-2_14
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