Reading Europe Advanced Data Investigation Tool (READ-IT)

READ-IT是一个跨国、跨学科的研发项目，旨在建立一个独特的大规模、用户友好、开放获取、语义丰富的调查工具，以识别和分享有关欧洲世纪阅读文化遗产的开创性证据。包含的语料库是一个丰富的“人类档案”，以多种媒体和语言描绘了阅读主题和阅读材料之间的交易。然而，它目前是分散的，没有充分的标签，因此无法追踪。如果没有收集、描述和结构化，它将仍然是未知的。还需要创新的工具来利用社区和对这一重要的共同遗产的批判性参与，从而保护和丰富它。READ-IT将确保定性数据的可持续和可重复使用的聚合，从而对阅读的文化遗产进行深入分析。语义网和信息系统的最新技术将提供一个通用的、面向最终用户的环境，使学者和普通读者能够从大量社区产生的数字数据中检索信息，从而对欧洲阅读的环境和影响有新的理解。人文和社会科学学者和计算机研究人员将探讨通过众包和网络爬行以及链接和重新使用现有数据集来收集新资源的创新方法。从多语言文本源的样本中提取描述符将有助于建立一个强大的本体论以及多个不变量的词库，这些不变量是欧洲阅读经验在不同时代和文化中的最低公分母。IT将最大限度地提高研究成果，并通过“超越最先进水平”的智能API和用户界面，促进与欧洲阅读数字文化遗产的进一步积极接触。共同策划个人收藏和阅读的回忆。它揭示了数字媒介知识和公众参与欧洲印刷文化文化遗产的社会影响。

READ-IT is a transnational, interdisciplinary R&D project that will build a unique large-scale, user-friendly, open access, semantically-enriched investigation tool to identify and share ground-breaking evidence about 18th-21st century Cultural Heritage of reading in Europe.The corpus encompassed is a rich 'human archive' in multiple media and languages depicting a transaction between reading subjects and reading material. Yet it is currently scattered and insufficiently labelled, thus untraceable. Without gathering, describing and structuring, it will remain unknown. Innovative tools are also needed to leverage community and critical engagement with this crucial common heritage, thereby preserving and enriching it.READ-IT will ensure the sustainable and reusable aggregation of qualitative data allowing an in-depth analysis of the Cultural Heritage of reading. State-of-the art technology in Semantic Web and information systems will provide a versatile, end-users oriented environment enabling scholars and ordinary readers to retrieve information from a vast amount of community-generated digital data leading to new understanding about the circumstances and effects of reading in Europe.The interdisciplinary collaboration between established digital humanists, human & social sciences scholars and computer researchers will investigate innovative ways of gathering new resources through crowdsourcing and web-crawling as well as linking and reusing pre-existing datasets. Extracting descriptors from a sample of multilingual textual sources will contribute to a robust ontology as well as to multiple thesauri of invariants accounting for the lowest common denominator of European reading experiences across times and cultures.READ-IT will maximize research outputs and foster further active engagement with the digital Cultural Heritage of reading in Europe through 'beyond the state of the art' smart APIs and user interfaces designed for the co-curation of personal collections and memories of reading. It sheds light on the societal impact of digitally mediated knowledge and of public engagement with the Cultural Heritage of European print culture.