基于可信框架的图融合可追溯性处理

Charlotte Jacobé de Naurois, C. Laudy
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引用次数: 0

摘要

我们之前开发了InSyTo,这是一个基于概念图形式化和本体的软信息和语义信息融合和管理框架。这个框架在许多项目中使用。然而,如果最终用户很好地接受了该框架,他们强调了在软信息融合过程中对可追溯性的迫切需求。在本文中,我们提出了一种为InSyTo提供可追溯性内置功能的方法。该方法依赖于概念图的使用,以便将每个基本信息片段的历史表示为谱系图。谱系图包含有关每个基本信息项的初始来源的所有历史信息,以及应用于它们的融合操作。这种新开发的主要优点是能够拥有一个值得信赖的框架,从而让最终用户知道在信息处理过程中发生了什么、为什么发生以及如何发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handling Traceability in Graph Fusion for a Trustworthy Framework
We previously developped InSyTo, a framework for soft and semantic information fusion and management relying on the conceptual graph formalism and ontologies. This framework was used in many projects. However, if the framework was well received by end-users, they highlighted an urgent need for traceability within the soft information fusion process. In this paper we propose an approach to provide traceability built-in capabilities to InSyTo. The approach relies on the use of conceptual graphs in order to express the history of each elementary piece of information as a lineage graph. The lineage graph contains all the historical information concerning the initial sources of each elementary information item, as well as the fusion operations that were applied on them. The main advantage of this new development is the ability of having a trustworthy framework and thus let the end-users know what, why and how somethings happens during the information process.
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