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Presenting results as dynamically generated co-authorship subgraphs in semantic digital library collections.

机译:在语义数字图书馆集合中将结果显示为动态生成的共同作者子图。

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摘要

Semantic web representations of data are by definition graphs, and these graphs can be explored using concepts from graph theory. This paper demonstrates how semantically mapped bibliographic metadata, combined with a lightweight software architecture and Web-based graph visualization tools, can be used to generate dynamic authorship graphs in response to typical user queries, as an alternative to more common text-based results presentations. It also shows how centrality measures and path analysis techniques from social network analysis can be used to enhance the visualization of query results. The resulting graphs require modestly more cognitive engagement from the user but offer insights not available from text. [ABSTRACT FROM AUTHOR]
机译:数据的语义Web表示形式是定义图,可以使用图论中的概念来探索这些图。本文演示了如何将语义映射的书目元数据与轻量级软件体系结构和基于Web的图形可视化工具相结合,可用于响应典型的用户查询生成动态作者图,以替代更常见的基于文本的结果表示。它还显示了如何使用社交网络分析的集中度度量和路径分析技术来增强查询结果的可视化。生成的图需要用户适度地进行更多的认知参与,但需要提供文本无法提供的见解。 [作者的摘要]

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