使用可互操作的元数据提取方法确定研究数据的相似性

Benedikt Heinrichs, M. A. Yazdi
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引用次数: 1

摘要

确定研究数据的相似性不是一项简单的任务,因为根据领域的不同,格式可能会有很大的不同。特别是,由于许多格式都表示为二进制文件,因此对这些格式进行原始比较不会产生好的结果。这使得很难通过比较数据来准确地判断某些研究工作的相似程度。随着抽取的可互操作元数据的出现,提供了一种独立于数据格式的描述数据的形式。因此,本工作尝试使用提取的可互操作元数据,并创建一种基于元数据确定研究数据相似性的方法。生成的方法利用了有关提取的元数据及其表述方式的领域知识。创建一个基线,并创建进一步的方法来进行比较。结果表明,我们的方法优于所有其他方法,特别是那些专注于比较研究数据本身而不是元数据的方法。由于结果很有希望,我们建议对其他数据集和可能的用例进行进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining the Similarity of Research Data by Using an Interoperable Metadata Extraction Method
Determining the similarity of research data is not a simple task, as the formats can differ widely depending on the domain. Especially, since many formats are represented as binary files, the raw comparison of these will not yield good results. This makes it hard to accurately tell how similar certain research work is by comparing the data. With the emergence of extracted interoperable metadata, a form to describe data has been provided which is independent of the data format. Therefore, this work tries to use this extracted interoperable metadata and create a method to determine the similarity of research data based on their metadata. The produced method utilizes domain knowledge about the extracted metadata and the way they are formulated. A baseline is created, and further methods are created to compare to. The results show that our method outperforms all other methods, especially the ones which are focused on comparing the research data itself, not the metadata. Since the results are promising, we propose further investigations against other datasets and possible use cases.
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