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Citizen Contributions and Minor Heritage: Feedback on Modeling and Visualising an Information Mash-up

机译:公民贡献和次要遗产:对信息混搭的建模和可视化的反馈

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The citizen science paradigm and the practices related to it have for the last decade called a wide attention, beyond academics, in many application fields with as a result a significant impact on discipline-specific research processes and on information sciences as such. Indeed, in the specific context of minor heritage (tangible and intangible cultural heritage assets that are left aside from large official heritage programs), citizen-birthed contributions appear as a major opportunity in the harvesting and enrichment of data sets (notwithstanding data quality and heterogeneity issues). In parallel, it seems we have today reached a moment when the acquisition and analysis of spatio-historical information appears "easier" since citizens are seen as potential (and legitimate) sensors. But is it really "easier"? And if so, at what cost? Having a closer look on practical challenges behind the curtain can avoid turning the above mentioned opportunity into a lost one. In this contribution we present a research initiative that aims at better circumscribing the difficulties one has to foresee when wanting to harvest and visualize pieces of data on minor heritage collections, and then to derive from them spatial, temporal, and thematic knowledge. The contribution focuses on three aspects: a short analysis of citizen contributions in the context of minor heritage, a description of the case study and of the data modeling bottlenecks we are facing, and an exemplification of the visual analysis solutions we experiment in order to portray and question our understanding of collections. The case study acts as a test bench helping to investigate data harvesting and modeling challenges, as well as potential added-value of the visualization step.
机译:在过去的十年中,公民科学范式及其相关实践在许多应用领域引起了学术界以外的广泛关注,因此对特定学科的研究过程以及信息科学等产生了重大影响。确实,在次要遗产(大型官方遗产计划未考虑的有形和非物质文化遗产资产)的特定背景下,公民出生的捐款似乎是收集和丰富数据集的主要机会(尽管数据质量和异构性很高)问题)。同时,由于公民被视为潜在的(和合法的)传感器,因此今天看来,时空历史信息的获取和分析似乎“更加轻松”。但这真的更“容易”吗?如果是这样,要付出什么代价?密切关注幕后的实际挑战可以避免将上述机会变成失去的机会。在这项贡献中,我们提出了一项研究计划,旨在更好地规避在想要收集和可视化较小遗产收藏的数据片段,然后从中获取时空,主题和主题知识时必须预见的困难。贡献主要集中在三个方面:对未成年人遗产背景下的公民贡献进行简短分析,对案例研究和我们面临的数据建模瓶颈的描述,以及为描绘而进行的视觉分析解决方案的例证并质疑我们对馆藏的理解。案例研究充当测试平台,有助于调查数据收集和建模挑战以及可视化步骤的潜在附加值。

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