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arXiv · 1106.2587

Relative Lempel-Ziv Factorization for Efficient Storage and Retrieval of Web Collections

Christopher Hoobin·Simon J. Puglisi·Justin Zobel
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Abstract

Compression techniques that support fast random access are a core component of any information system. Current state-of-the-art methods group documents into fixed-sized blocks and compress each block with a general-purpose adaptive algorithm such as GZIP. Random access to a specific document then requires decompression of a block. The choice of block size is critical: it trades between compression effectiveness and document retrieval times. In this paper we present a scalable compression method for large document collections that allows fast random access. We build a representative sample of the collection and use it as a dictionary in a LZ77-like encoding of the rest of the collection, relative to the dictionary. We demonstrate on large collections, that using a dictionary as small as 0.1% of the collection size, our algorithm is dramatically faster than previous methods, and in general gives much better compression.

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Christopher Hoobin, Simon J. Puglisi, Justin Zobel. 2011-12-09. Relative Lempel-Ziv Factorization for Efficient Storage and Retrieval of Web Collections. https://arxiv.org/abs/1106.2587

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