DoCQS: A prototype system for supporting data-oriented content query

Mianwei Zhou, Tao Cheng, Kevin Chen-Chuan Chang

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

Abstract

Witnessing the richness of data in document content and many ad-hoc efforts for finding such data, we propose a Data-oriented Content Query System(DoCQS), which is oriented towards fine granularity data of all types by searching directly into document content. DoCQS uses the relational model as the underlying data model, and offers a powerful and flexible Content Query Language(CQL) to adapt to diverse query demands. In this demonstration, we show how to model various search tasks by CQL statements, and how the system architecture efficiently supports the CQL execution. Our online demo of the system is available at http://wisdm.cs.uiuc.edu/demos/docqs/.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 International Conference on Management of Data, SIGMOD '10
Pages1211-1214
Number of pages4
DOIs
StatePublished - Jul 23 2010
Event2010 International Conference on Management of Data, SIGMOD '10 - Indianapolis, IN, United States
Duration: Jun 6 2010Jun 11 2010

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

Other2010 International Conference on Management of Data, SIGMOD '10
CountryUnited States
CityIndianapolis, IN
Period6/6/106/11/10

Keywords

  • content query
  • cql
  • data retrieval
  • docqs
  • entity search
  • relational data model

ASJC Scopus subject areas

  • Software
  • Information Systems

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