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Multiple-source Data Collection and Processing into a Graph Database Supporting Cultural Heritage Applications
ACM Journal on Computing and Cultural Heritage ( IF 2.1 ) Pub Date : 2021-07-16 , DOI: 10.1145/3465741
Antonio Origlia 1 , Silvia Rossi 1 , Sergio Di Martino 1 , Francesco Cutugno 2 , Maria Laura Chiacchio 3
Affiliation  

The continuous growth of available resources on the web, both in the form of Linked Open Data and on Social Networks, provides an important opportunity to gather information concerning specific kinds of touristic activities like, for example, cultural tourism, eco-tourism, bike-tourism, and so on. Both decision makers and tourists can take advantage from these data, as demonstrated by previous works, with institutional actors foreseeing an increase in the use of this data to substitute other time-consuming and expensive approaches. However, managing multiple sources built with different goals and structures is not straightforward, so specific design choices must be made when assembling this kind of information. Graph databases represent an ideal way to combine multiple-source data but, to be successful, strategies accounting for inconsistencies and format differences have to be defined to support coherent analysis. Also, the continuously changing nature of crowd-sourced data makes it difficult, for the research community, to compare technological approaches to the different tasks that are linked to cultural heritage, from recommendation to management. To support the research effort in this direction, we describe the data ingestion and enrichment procedure we followed to organise knowledge coming from three different sources, namely Wikidata, Wikipedia, and Flickr, into a single, application-oriented, resource organised as a graph database. We present the potential use of this resource to perform multiple source analyses targeting the specific case of cultural tourism on a nationwide scale, and we propose its use as a shared benchmark for technological applications designed to support optimal management of cultural resources.

中文翻译:

多源数据采集和处理成支持文化遗产应用的图数据库

网络上可用资源的持续增长,以链接开放数据和社交网络的形式,提供了一个重要的机会来收集有关特定类型旅游活动的信息,例如文化旅游、生态旅游、自行车-旅游等。正如之前的工作所证明的那样,决策者和游客都可以从这些数据中受益,机构参与者预计这些数据的使用会增加,以替代其他耗时且昂贵的方法。但是,管理以不同目标和结构构建的多个源并不简单,因此在组装此类信息时必须做出特定的设计选择。图数据库代表了一种组合多源数据的理想方式,但要成功,必须定义解决不一致和格式差异的策略,以支持连贯的分析。此外,众包数据不断变化的性质使得研究界难以比较与文化遗产相关的不同任务的技术方法,从推荐到管理。为了支持这个方向的研究工作,我们描述了我们遵循的数据摄取和丰富过程,以将来自三个不同来源(即 Wikidata、Wikipedia 和 Flickr)的知识组织成一个单一的、面向应用程序的资源,组织为图形数据库. 我们介绍了该资源的潜在用途,以针对全国范围内的文化旅游特定案例进行多源分析,
更新日期:2021-07-16
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