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Adaptive searching in succinctly encoded binary relations and tree-structured documents

机译:简洁编码的二进制关系和树状文档中的自适应搜索

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摘要

The methods most heavily used by search engines to answer conjunctive queries on binary relations (such as one associating keywords with web-pages) are based on computing the intersection of postings lists stored as sorted arrays and using variants of binary search. We show that a succinct representation of the binary relation permits much better results, while using less space than traditional methods. We apply our results not only to conjunctive queries on binary relations, but also to queries on semi-structured documents such as XML documents or file-system indexes, using a variant of an adaptive algorithm used to solve conjunctive queries on binary relations.
机译:搜索引擎最常用于回答二元关系的联合查询(例如,将关键字与网页相关联)的方法是基于计算存储为排序数组的发布列表的交集并使用二分搜索的变体。我们表明,二元关系的简洁表示允许更好的结果,同时使用的空间比传统方法少。我们使用自适应算法的一种变体来解决对二进制关系的联合查询,将结果不仅应用于对二进制关系的联合查询,而且还应用于对半结构化文档(例如XML文档或文件系统索引)的查询。

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