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Metainformation scenarios in Digital Humanities: Characterization and conceptual modelling strategies

机译:数字人文中的梅纳林信息情景:表​​征和概念建模策略

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Requirements for the analysis, interpretation and reuse of information are becoming more and more ambitious as we generate larger and more complex datasets. This is leading to the development and widespread use of information about information, often called metainformation (or metadata) in most disciplines. The Digital Humanities are not an exception. We often assume that metainformation helps us in documenting information for future reference by recording who has created it, when and how, among other aspects. We also assume that recording metainformation will facilitate the tasks of interpreting information at later stages. However, some works have identified some issues with existing metadata approaches, related to 1) the proliferation of too many "standards" and difficulties to choose between them; 2) the generalized assumption that metadata and data (or metainformation and information) are essentially different, and the subsequent development of separate sets of languages and tools for each (introducing redundant models); and 3) the combination of conceptual and implementation concerns within most approaches, violating basic engineering principles of modularity and separation of concerns. Some of these problems are especially relevant in Digital Humanities.In addition, we argue here that the lack of characterization of the scenarios in which metainformation plays a relevant role in humanistic projects often results in metainformation being recorded and managed without a specific purpose in mind. In turn, this hinders the process of decision making on issues such as what metainformation must be recorded in a specific project, and how it must be conceptualized, stored and managed.This paper presents a review of the most used metadata approaches in Digital Humanities and, taking a conceptual modelling perspective, analyses their major issues as outlined above. It also describes what the most common scenarios for the use of metainformation in Digital Humanities are, presenting a characterization that can assist in the setting of goals for metainformation recording and management in each case. Based on these two aspects, a new approach is proposed for the conceptualization, recording and management of metainformation in the Digital Humanities, using the ConML conceptual modelling language, and adopting the overall view that metainformation is not essentially different to information. The proposal is validated in Digital Humanities scenarios through case studies employing real-world datasets. (C) 2019 Elsevier Ltd. All rights reserved.
机译:当我们生成更大且更复杂的数据集时,信息的分析,解释和重用信息的要求变得越来越雄心勃勃。这导致开发和广泛使用关于信息的信息,通常称为Metainformation(或元数据)。数字人文不是一个例外。我们经常假设Metainformation通过录制录制,帮助我们记录未来参考的信息,何时以及如何以及如何以及如何。我们还假设录制素食将有助于在以后阶段解释信息的任务。但是,有些作品已经确定了现有元数据方法的一些问题,有关1)太多“标准”的增殖和选择之间的困难; 2)概括的假设:元数据和数据(或蜂蜜信息和信息)基本上不同,以及随后开发每个单独的语言和工具(换冗余模型); 3)大多数方法中概念和实施问题的结合,违反了模块化的基础工程原则和关注的分离。其中一些问题在数字人文学科尤其相关。此外,我们争辩说,毫无特定的遗传信息缺乏对人文项目中扮演相关角色的情景的表征往往会记录和管理,而无需特定目的。反过来,这阻碍了关于必须在特定项目中录制的问题的决策过程,以及它必须如何概念化,存储和管理。本文提出了对数字人文学科的最常用的元数据方法以及,采取概念建模的角度,分析了上面概述的主要问题。它还介绍了在数字人科中使用Metainformation的最常见场景,其特征在于,在每种情况下,可以帮助在彼此形成记录记录和管理的目标的目标。基于这两个方面,使用Conml概念建模语言提出了一种新的方法,用于数字人文学科在数字人文学科中的概念化,记录和管理,并采用梅纳林信息与信息没有基本不同的总体观点。通过采用现实世界数据集的案例研究,该提案在数字人文学科方案中验证。 (c)2019 Elsevier Ltd.保留所有权利。

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