Integrating and querying taxonomies with quest in the presence of conflicts

Yan Qi, Kasim Candan, Maria Luisa Sapino, Keith Kintigh

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

3 Scopus citations

Abstract

We present the QUery-driven Exploration of Semistructured dataand meta-data with conflicTs and partial knowledge (QUEST) system for supporting the integration of scientific data and taxonomies in the presence of misalignments and conflicts. QUEST relies on a novel constraint-based data model that captures both value and structural conflicts and enables researchers to observe and resolve such misalignments in the integrated data by considering the context provided by the data requirements of given research questions.

Original languageEnglish (US)
Title of host publicationSIGMOD 2007
Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
Pages1153-1155
Number of pages3
DOIs
StatePublished - Oct 31 2007
EventSIGMOD 2007: ACM SIGMOD International Conference on Management of Data - Beijing, China
Duration: Jun 12 2007Jun 14 2007

Publication series

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

Other

OtherSIGMOD 2007: ACM SIGMOD International Conference on Management of Data
CountryChina
CityBeijing
Period6/12/076/14/07

Keywords

  • Conflicts
  • Query processing
  • Reasoning with misaligned data
  • Relevance feedback
  • Taxonomy

ASJC Scopus subject areas

  • Software
  • Information Systems

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  • Cite this

    Qi, Y., Candan, K., Sapino, M. L., & Kintigh, K. (2007). Integrating and querying taxonomies with quest in the presence of conflicts. In SIGMOD 2007: Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1153-1155). (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/1247480.1247639