Cultural Itineraries Generated by Smart Data on the Web

Author:

Capodiferro Cosmo1ORCID,De Maria Massimo2,Mazzei Mauro1ORCID,Spreafico Matteo1,V. Bik Oleg2,Palma Armando L.1,V. Solovyeva Anna2

Affiliation:

1. National Research Council, Istituto di Analisi dei Sistemi ed Informatica, LabGeoInf, Via dei Taurini, 19, I-00185 Rome, Italy

2. Academy of Engineering, Peoples Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia

Abstract

The development of storage standards for databases of different natures and origins 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 for 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 an 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.

Publisher

MDPI AG

Reference56 articles.

1. Berners-Lee, T. (2023, December 10). Linked Data—Design Issues. 18 Giugno 2009. Available online: https://www.w3.org/DesignIssues/LinkedData.html.

2. Berners-Lee, T., Fielding, R., and Masinter, L. (2023, December 09). RFC3986: Uniform Resource Identifiers (URI): Generic Syntax. Gennaio 2005. Available online: https://www.rfc-editor.org/rfc/rfc3986.html.

3. Klyne, G., and Carroll, J.J. (2023, December 11). Resource Description Framework (RDF): Concepts and Abstract Syntax. 10 Febbraio 2004. Available online: https://www.w3.org/TR/rdf-concepts/.

4. Linked data: Evolving the web into a global data space;Heath;Synthesis Lectures on the Semantic Web: Theory and Technology,2011

5. Jacobs, I., and Walsh, N. (2023, December 03). Architecture of the World Wide Web, Volume One. 15 Dicembre 2004. Available online: https://www.w3.org/TR/webarch/.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3