Studi di archivistica, bibliografia, paleografia

Collana | Studi di archivistica, bibliografia, paleografia
Miscellanea | Models of Data Extraction and Architecture in Relational Databases of Early Modern Private Political Archives
Capitolo | Metapolis: Spatializing Histories Through Archival Sources

Metapolis: Spatializing Histories Through Archival Sources

Abstract

Metapolis endeavours to fill a gap within digital infrastructures tailored for the Humanities, particularly those designed to encompass the entire research continuum of geospatial historical research. While numerous digital tools exist to cater to the research requisites of scholars engaged in spatio‑temporal inquiries at various levels, these tools often operate in isolation from one another, resulting in a fragmented research process. Metapolis, in contrast, amalgamates a suite of tools and provides essential support for humanities scholarship, thereby empowering researchers in their endeavour to reconstruct locations across temporal dimensions within a geospatial framework. Functioning as an interactive map‑centric publication platform, it affords users the capacity to intermingle archival, bibliographic, and multimedia resources with interpretative research, thereby enabling their correlation and visual representation on a geographical map. Leveraging ResearchSpace, an open‑source Semantic Web research environment, Metapolis facilitates the reuse and dissemination of Linked Open Data. Additionally, an extensive array of functionalities facilitates the enhancement of data through external knowledge repositories like VIAF, WikiData, Worldcat, and the Getty vocabularies. Conceived both as a research instrument and a publication medium, this software enables cohorts of scholars spanning a wide spectrum of humanistic disciplines to harmonize their analyses and bolster each other’s discoveries through the overlaying of historical maps, interlinking them with sources to empower users in constructing a deeper understanding of the world and its historical evolution.


Open access | Peer reviewed

Presentato: 03 Ottobre 2023 | Accettato: 18 Gennaio 2024 | Pubblicato 22 Maggio 2025 | Lingua: en

Keywords ResearchSpaceResearch infrastructuresLinked Open DataGeospatial dataMetapolis


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