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2015 | OriginalPaper | Chapter

On Structures of Inverted Index for Query Processing Efficiency

Authors : Xingshen Song, Xueping Zhang, Yuexiang Yang, Jicheng Quan, Kun Jiang

Published in: Information Retrieval Technology

Publisher: Springer International Publishing

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Abstract

Inverted index has been widely adopted by modern search engines to effectively manage billions of documents and respond to users’ queries. Recently, many auxiliary index variants are brought up to enhance the engine’s compression ratio or query processing efficiency. The most successful auxiliary index structures are Block-Max Index and Dual-Sorted Index, both used for quickening the query processing. More precisely, Block-Max Index is designed for efficient top-k query processing while Dual-Sorted Index introduces pattern matching to solve complex query. There is little work thoroughly analyses and compares the performance of the two auxiliary structures. In this paper, an in-depth study on Block-Max Index and Dual-Sorted Index is presented, with a survey on related top-k query processing strategies. Finally, experimental results on TREC GOV2 dataset with detailed analysis show that Dual-Sorted Index achieves the best query processing performance at the price of huge space occupation, moreover, it sheds light upon the prospect of combining compact data structures with inverted index.

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Metadata
Title
On Structures of Inverted Index for Query Processing Efficiency
Authors
Xingshen Song
Xueping Zhang
Yuexiang Yang
Jicheng Quan
Kun Jiang
Copyright Year
2015
Book
Information Retrieval Technology

Print ISBN: 978-3-319-28939-7

Electronic ISBN: 978-3-319-28940-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-28940-3_1