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An Efficient and Effective Index Structure for Query Evaluation in Search Engines

An Efficient and Effective Index Structure for Query Evaluation in Search Engines
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Author(s): Yangjun Chen (University of Winnipeg, Canada)
Copyright: 2019
Pages: 14
Source title: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7598-6.ch127

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Abstract

In this chapter, the authors discuss an efficient and effective index mechanism for search engines to support both conjunctive and disjunctive queries. The main idea behind it is to decompose an inverted list into a collection of disjoint sub-lists. The authors associate each word with an interval sequence, which is created by applying a kind of tree coding to a trie structure constructed over all the word sequences in a database. Then, attach each interval, instead of a word, with an inverted sub-list. In this way, both set intersection and union can be conducted by performing a series of simple interval containment checks. Experiments have been conducted, which shows that the new index is promising. Also, how to maintain indices, when inserting or deleting documents, is discussed in great detail.

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