Algorithmics and applications of tree and graph searching

Research output: Chapter in Book/Report/Conference proceedingConference contribution

325 Scopus citations

Abstract

Modern search engines answer keyword-based queries extremely efficiently. The impressive speed is due to clever inverted index structures, caching, a domain-independent knowledge of strings, and thousands of machines. Several research efforts have attempted to generalize keyword search to keytree and keygraph searching, because trees and graphs have many applications in next-generation database systems. This paper surveys both algorithms and applications, giving some emphasis to our own work.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, PODS 2002
PublisherAssociation for Computing Machinery (ACM)
Pages39-52
Number of pages14
ISBN (Electronic)9781581135077
DOIs
StatePublished - Jun 3 2002
Externally publishedYes
Event21st ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, PODS 2002 - Madison, WI, United States
Duration: Jun 3 2002Jun 5 2002

Publication series

NameProceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
ISSN (Print)1055-6338

Conference

Conference21st ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, PODS 2002
Country/TerritoryUnited States
CityMadison, WI
Period6/3/026/5/02

All Science Journal Classification (ASJC) codes

  • General Engineering

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