QBEES: query by entity examples

S. Metzger, Ralf Schenkel, M. Sydow
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引用次数: 26

Abstract

Structured knowledge bases are an increasingly important way for storing and retrieving information. Within such knowledge bases, an important search task is finding similar entities based on one or more example entities. We present QBEES, a novel framework for defining entity similarity based only on structural features, so-called aspects, of the entities, that includes query-dependent and query-independent entity ranking components. We present evaluation results with a number of existing entity list completion benchmarks, comparing to several state-of-the-art baselines.
QBEES:按实体样例查询
结构化知识库是存储和检索信息的一种日益重要的方式。在这样的知识库中,一个重要的搜索任务是基于一个或多个示例实体找到相似的实体。我们提出了QBEES,这是一个新的框架,用于仅基于实体的结构特征(即所谓的方面)来定义实体相似性,其中包括依赖于查询和独立于查询的实体排序组件。我们提出了一些现有实体列表完成基准的评估结果,与几个最先进的基线进行比较。
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