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Expressiveness and Performance of Full-Text Search Languages (2005)

Abstract
We study the expressiveness and performance of full-text search languages. Our main motivation is to provide a formal basis for comparing such languages and todevelop a model for full-text search that can be tightly integrated withstructured search. We develop a formal model for full-text search based on thepositions of tokens (words) in the input text, and develop a full-text calculus(FTC) and a full-text algebra (FTA) with equivalent expressive power. Thissuggests a notion of completeness for full-text search languages and can be usedas a basis for a study of their expressiveness. We show that existing full-textlanguages are incomplete and develop {\tt COMP}, a complete full-text searchlanguage. We also identify practical subsets of {\tt COMP} that are morepowerful than existing languages, develop efficient query evaluation algorithmsfor these subsets, and study experimentally their performance.

Publication details
Download http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cis/TR2005-1984
http://hdl.handle.net/1813/5684
Publisher Cornell University
Repository DSpace at Cornell University (United States)
Keywords computer science, technical report
Type Technical Report
Language English