dg_sum:用于个性化汇总异构数据图的模式驱动方法

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Amal Beldi, Salma Sassi, Richard Chbeir, Abderrazek Jemai
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引用次数: 0

摘要

计算资源的进步使处理大量数据成为可能。然而,从这些数据中识别趋势对人类来说仍然是一个挑战,尤其是在医学和社交网络等领域。这些挑战使得处理、分析和可视化数据变得困难。在这种情况下,图形摘要已经成为一种有效的框架,旨在促进数据结构和意义的识别。文献对图的摘要问题进行了研究,并提出了许多静态环境下的图摘要方法。这些方法提供了图形的压缩版本,在保留其基本结构的同时删除了许多细节。然而,它们在计算上令人望而却步,并且在结构和内容方面都不能扩展到大型图形。此外,还没有框架提供混合源的摘要,目的是创建动态的、语法的和语义的数据摘要。在本文中,我们的主要贡献集中在建模数据图,使用模式驱动的方法汇总来自多个来源的数据,并根据每个用户的需求可视化图形摘要版本。我们通过使用电子健康领域的案例研究来演示这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DG_summ: A schema-driven approach for personalized summarizing heterogeneous data graphs
Advances in computing resources have enabled the processing of vast amounts of data. However, identifying trends in such data remains challenging for humans, especially in fields like medicine and social networks. These challenges make it difficult to process, analyze, and visualize the data. In this context, graph summarization has emerged as an effective framework aiming to facilitate the identification of structure and meaning in data. The problem of graph summarization has been studied in the literature and many approaches for static contexts are proposed to summarize the graph. These approaches provide a compressed version of the graph that removes many details while retaining its essential structure. However, they are computationally prohibitive and do not scale to large graphs in terms of both structure and content. Additionally, there is no framework providing summarization of mixed sources with the goal of creating a dynamic, syntactic, and semantic data summary. In this paper, our key contribution is focused on modeling data graphs, summarizing data from multiple sources using a schema-driven approach, and visualizing the graph summary version according to the needs of each user. We demonstrate this approach through a case study on the use of the E-health domain.
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来源期刊
Computer Science and Information Systems
Computer Science and Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
2.30
自引率
21.40%
发文量
76
审稿时长
7.5 months
期刊介绍: About the journal Home page Contact information Aims and scope Indexing information Editorial policies ComSIS consortium Journal boards Managing board For authors Information for contributors Paper submission Article submission through OJS Copyright transfer form Download section For readers Forthcoming articles Current issue Archive Subscription For reviewers View and review submissions News Journal''s Facebook page Call for special issue New issue notification Aims and scope Computer Science and Information Systems (ComSIS) is an international refereed journal, published in Serbia. The objective of ComSIS is to communicate important research and development results in the areas of computer science, software engineering, and information systems.
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