A Robust Monitoring Platform for Rural Cultural and Natural Heritage

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Francisco Barrientos, Aitziber Egusquiza, Claudia De Luca, Simona Tondelli, Pedro Martín-Lerones, David Olmedo, John Martin, Irina Pavlova, Jaime Gómez-García-Bermejo, Eduardo Zalama Casanova
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引用次数: 0

Abstract

Rural areas in Europe represent outstanding examples of Cultural and Natural Heritage (CNH) that could be used as a valuable asset for social and economic development. This article describes the process for developing a monitoring platform based on Key Performance Indicators (KPI) and implemented in six rural areas around Europe. The goal of this monitoring system is to provide evidence of the role of CNH in rural areas as a driver for sustainable growth. Several data collection procedures are described, including regular, non-regular, and co-monitoring. To combine the selected cross-thematic and multi-scale KPIs, weights have been assigned to indicators, according to the knowledge provided by domain experts and using group decision-making techniques. A detailed description of the dashboards developed for the monitoring platform, and all the information gathered is included. Several dashboards have been designed focusing on KPI values and their evolution.

健全的农村文化和自然遗产监测平台
欧洲农村地区是文化和自然遗产的杰出范例,可以作为社会和经济发展的宝贵资产。本文描述了基于关键绩效指标(KPI)开发监测平台的过程,并在欧洲六个农村地区实施。该监测系统的目标是提供证据,证明CNH在农村地区作为可持续增长驱动力的作用。介绍了几种数据收集程序,包括定期、不定期和共同监测。为了结合所选择的跨主题和多尺度kpi,根据领域专家提供的知识并使用群体决策技术,为指标分配了权重。详细描述了为监控平台开发的仪表板,以及收集的所有信息。已经设计了几个仪表板,重点关注KPI值及其演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Journal on Computing and Cultural Heritage
ACM Journal on Computing and Cultural Heritage Arts and Humanities-Conservation
CiteScore
4.60
自引率
8.30%
发文量
90
期刊介绍: ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.
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