Title :
Reachability Indexes for Relational Keyword Search
Author :
Markowetz, Alexander ; Yang, Yin ; Papadias, Dimitris
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
fDate :
March 29 2009-April 2 2009
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.
Keywords :
query processing; reachability analysis; relational databases; trees (mathematics); graph traversals; intensive query processing; materialized data graph; reachability indexes; relational keyword search; relational operator trees; Computer science; Costs; Data engineering; Indexing; Information retrieval; Keyword search; Query processing; Relational databases; Space technology; Tree graphs; Keywoed Search; Reachability Indexing; Relational Databases;
Conference_Titel :
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3422-0
Electronic_ISBN :
1084-4627
DOI :
10.1109/ICDE.2009.191