Reachability indexes for relational keyword search

Alexander Markowetz*, Yin Yang, Dimitris Papadias

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Citations (Scopus)

Abstract

Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Specifically, R-KWS explores a vast search space, comprised of all possible combinations of keyword occurrences in any attribute of every table. Existing systems follow two general methodologies for query processing: (i) graph based, which traverses a materialized data graph, and (ii) operator based, which executes relational operator trees on an underlying DBMS. In both cases, computations are largely wasted on graph traversals or operator tree executions that fail to return results. Motivated by this observation, we introduce a comprehensive framework for reachability indexing that eliminates such fruitless operations. We describe a range of indexes that capture various types of join reachability. Extensive experiments demonstrate that the proposed techniques significantly improve performance, often by several orders of magnitude.

Original languageEnglish
Title of host publicationProceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009
Pages1163-1166
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event25th IEEE International Conference on Data Engineering, ICDE 2009 - Shanghai, China
Duration: 29 Mar 20092 Apr 2009

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference25th IEEE International Conference on Data Engineering, ICDE 2009
Country/TerritoryChina
CityShanghai
Period29/03/092/04/09

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