Reading Europe Advanced Data Investigation Tool (READ-IT)

READ-IT是一个跨国、跨学科的研发项目，它将建立一个独特的、大规模的、用户友好的、开放获取的、语义丰富的调查工具，以识别和分享关于18 -21世纪欧洲阅读文化遗产的突破性证据。所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述了阅读主题和阅读材料之间的交易。然而，它目前是分散的，没有足够的标签，因此无法追踪。没有收集、描述和构建，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共同遗产的批判性参与，从而保护和丰富它。READ-IT将确保可持续和可重复使用的定性数据聚合，从而对阅读的文化遗产进行深入分析。语义网和信息系统中最先进的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生成的数字数据中检索信息，从而对欧洲阅读的情况和影响产生新的理解。数字人文学者、人文社会科学学者和计算机研究人员之间的跨学科合作将研究通过众包和网络爬行以及链接和重用已有数据集来收集新资源的创新方法。从多语言文本来源的样本中提取描述符将有助于建立一个健壮的本体，以及多个不变量词典，这些不变量占欧洲阅读经历的最低共同标准，跨越时间和文化。READ-IT将最大限度地提高研究成果，并通过“超越艺术水平”的智能api和为个人收藏和阅读记忆共同策划的用户界面，促进欧洲阅读数字文化遗产的进一步积极参与。它揭示了数字媒介知识和公众参与欧洲印刷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.