跨网络分类法的多文化互联

J. Web Sci. Pub Date : 2018-02-13 DOI:10.1561/106.00000012
N. Boldyrev, M. Spaniol, G. Weikum
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引用次数: 2

摘要

Web承载着各种各样的多元文化分类法。它们包括电子商务的产品目录、通用知识库和许多特定领域的分类系统。当多个分类法必须相互关联时,这些来源的巨大异质性是一个具有挑战性的方面。在本文中,我们引入了跨系统来支持独立创建的Web分类法的对齐。为了跨不同分类法映射类别,across利用实例级特性以及来自多个维基百科版本等中间来源的远程监督。ACROSS包含一个基于组合优化的推理步骤。为了在不牺牲推理质量的前提下减少推理过程的运行时间,我们研究了两种用户参与模型。我们对不同领域的异质分类法进行的实验证明了我们的方法的可行性以及对最先进基线的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Cultural Interlinking of Web Taxonomies with ACROSS
The Web hosts a huge variety of multi-cultural taxonomies. They encompass product catalogs of e-commerce, general-purpose knowledge bases and numerous domain-specific category systems. The enormous heterogeneity of those sources is a challenging aspect when multiple taxonomies have to be interlinked. In this paper we introduce ACROSS system to support the alignment of independently created Web taxonomies. For mapping categories across different taxonomies, ACROSS harnesses instance-level features as well as distant supervision from an intermediate source like multiple Wikipedia editions. ACROSS includes a reasoning step, which is based on combinatorial optimization. In order to reduce the run time of the reasoning procedure without sacrificing the quality, we study two models of user involvement. Our experiments with heterogeneous taxonomies for different domains demonstrate the viability of our approach and improvement over state-of-the-art baselines.
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