PROV4ITDaTa: Transparent and direct transferof personal data to personal stores

Gertjan De Mulder, B. Meester, Pieter Heyvaert, Ruben Taelman, Anastasia Dimou, R. Verborgh
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引用次数: 4

Abstract

Data is scattered across service providers, heterogeneously structured in various formats. By lack of interoperability, data portability is hindered, and thus user control is inhibited. An interoperable data portability solution for transferring personal data is needed. We demo PROV4ITDaTa: a Web application, that allows users to transfer personal data into an interoperable format to their personal data store. PROV4ITDaTa leverages the open-source solutions RML.io, Comunica, and Solid: (i) the RML.io toolset to describe how to access data from service providers and generate interoperable datasets; (ii) Comunica to query these and more flexibly generate enriched datasets; and (iii) Solid Pods to store the generated data as Linked Data in personal data stores. As opposed to other (hard-coded) solutions, PROV4ITDaTa is fully transparent, where each component of the pipeline is fully configurable and automatically generates detailed provenance trails. Furthermore, transforming the personal data into RDF allows for an interopable solution. By maximizing the use of open-source tools and open standards, PROV4ITDaTa facilitates the shift towards a data ecosystem wherein users have control of their data, and providers can focus on their service instead of trying to adhere to interoperability requirements.
PROV4ITDaTa:透明和直接地将个人数据转移到个人存储
数据分散在各个服务提供者之间,以各种格式进行异构结构。由于缺乏互操作性,数据可移植性受到阻碍,从而抑制了用户控制。需要一种可互操作的数据可移植性解决方案来传输个人数据。我们演示PROV4ITDaTa:一个Web应用程序,它允许用户将个人数据转换为可互操作的格式,并存储到他们的个人数据存储中。PROV4ITDaTa利用开源解决方案RML。io、communication和Solid:(i) RML。IO工具集,用于描述如何从服务提供商访问数据并生成可互操作的数据集;通讯查询这些数据并更灵活地生成丰富的数据集;以及(iii) Solid Pods将生成的数据作为关联数据存储在个人数据存储中。与其他(硬编码的)解决方案相反,PROV4ITDaTa是完全透明的,其中管道的每个组件都是完全可配置的,并自动生成详细的来源跟踪。此外,将个人数据转换为RDF支持可互操作的解决方案。通过最大限度地使用开源工具和开放标准,PROV4ITDaTa促进了向数据生态系统的转变,其中用户可以控制他们的数据,提供商可以专注于他们的服务,而不是试图坚持互操作性需求。
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