Semantic Adaptive Enrichment of Cartography for Intangible Cultural Heritage and Citizen Journalism

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.