Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Cultural Itineraries Generated by Smart Data on the Web

Version 1 : Received: 21 December 2023 / Approved: 22 December 2023 / Online: 22 December 2023 (14:30:33 CET)

A peer-reviewed article of this Preprint also exists.

Capodiferro, C.; De Maria, M.; Mazzei, M.; Spreafico, M.; V. Bik, O.; Palma, A.L.; V. Solovyeva, A. Cultural Itineraries Generated by Smart Data on the Web. ISPRS Int. J. Geo-Inf. 2024, 13, 47. Capodiferro, C.; De Maria, M.; Mazzei, M.; Spreafico, M.; V. Bik, O.; Palma, A.L.; V. Solovyeva, A. Cultural Itineraries Generated by Smart Data on the Web. ISPRS Int. J. Geo-Inf. 2024, 13, 47.

Abstract

The development of storage standards for databases of different nature and origin makes it possible to aggregate and interact with different data sources in order to obtain and show complex and thematic information to the end user. This article aims to analyze some possibilities opened up by new applications and hypothesize their possible developments. With this work, using the currently available Web technologies, we would like to verify the potential of the use of Linked Open Data in the world of WebGIS and illustrate an application that allows the user to interact with Linked Open Data through their representation on a map. Italy has a artistic and cultural heritage unique in the world and the italian Ministry of Cultural Heritage and Activities and Tourism has created and made freely available a dataset in Linked Open Data format that represents it. With the aim of enhancing and making this heritage more usable, the National Research Council (CNR) has created an application that presents this heritage via WebGIS on a map. Following criteria definable by the user, such as the duration, the subject of interest and the style of the trip, tourist itineraries are created through the places that host this heritage. New possibilities open up where the tools made available by the Web can be used together, according to pre-established sequences, to create completely new applications. This can be compared to the use of words, all known in themselves, which, according to pre-established sequences, allow us to create ever new texts.

Keywords

Linked Open Data; SPARQL; GeoSPARL; Geocoding; OpenStreetMap; web-GIS

Subject

Computer Science and Mathematics, Data Structures, Algorithms and Complexity

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