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GraFa:RDF图的可扩展分面浏览

GraFa: Scalable Faceted Browsing for RDF Graphs
课程网址: http://videolectures.net/iswc2018_moreno_grafa_scalable_faceted/  
主讲教师: José Moreno
开课单位: 图卢兹计算机科学研究所
开课时间: 2018-11-22
课程语种: 英语
中文简介:
分面浏览已经成为Web上用户界面的一种流行模式,并且已经在RDF图的上下文中进行了研究。然而,当前RDF图的分面浏览器在面临两个挑战时会遇到性能问题:大规模,大型数据集生成许多结果;异构性,大量属性和类生成许多方面。为了解决这些挑战,我们提出了GraFa:一种基于材料化策略的异构大规模RDF图的分面浏览系统,该系统对输入图进行离线分析,以识别指数数量的可能分面组合的子集,这些组合是索引的候选。在Wikidata上的实验中,我们证明了材料化允许在不到一秒钟的时间内显示数百万个不同结果的(精确)面视图,同时保持索引大小相对较小。我们还介绍了GraFa的初步可用性研究。
课程简介: Faceted browsing has become a popular paradigm for user interfaces on the Web and has also been investigated in the context of RDF graphs. However, current faceted browsers for RDF graphs encounter performance issues when faced with two challenges: scale, where large datasets generate many results, and heterogeneity, where large numbers of properties and classes generate many facets. To address these challenges, we propose GraFa: a faceted browsing system for heterogeneous large-scale RDF graphs based on a materialisation strategy that performs an offline analysis of the input graph in order to identify a subset of the exponential number of possible facet combinations that are candidates for indexing. In experiments over Wikidata, we demonstrate that materialisation allows for displaying (exact) faceted views over millions of diverse results in under a second while keeping index sizes relatively small. We also present initial usability studies over GraFa.
关 键 词: Web上用户界面; Wikidata上的实验; GraFa的初步可用性研究; 人工智能
课程来源: 视频讲座网
数据采集: 2023-01-14:cyh
最后编审: 2023-01-14:cyh
阅读次数: 24