Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1557670.1557687acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
research-article

Generic and effective semi-structured keyword search

Published: 28 June 2009 Publication History

Abstract

Current semi-structured keyword search and natural language query processing systems use ad hoc approaches to take advantage of structural information. Although intuitive, they are ultimately ad hoc. We have developed the concept of coherency ranking based on the statistical properties of data to rank the keyword search results. We demonstrate how the coherency ranking works for two real-world XML databases and show its advantages over the previously proposed XML keyword search methods.

References

[1]
Z. Bao, T. W. Ling, B. Chen, and J. Lu. Effective XML Keyword Search with Relevance Oriented Ranking. In ICDE 2009.
[2]
S. Cohen, J. Mamou, Y. Kanza, and Y. Sagiv. XSearch: A Semantic Search Engine for XML. In VLDB 2003.
[3]
L. Guo, F. Shao, C. Botev, and J. Shanmugasundaram. XRANK: Ranked Keyword Search over XML Documents. In SIGMOD 2003.
[4]
G. Li, J. Feng, J. Wang, and L. Zhou. Effective Keyword Search for Valuable LCAs over XML Documents. In CIKM 2007.
[5]
Z. Liu and Y. Chen. Reasoning and Identifying Relevant Matches for XML Keyword Search. In VLDB 2008.
[6]
A. Termehchy and M. Winslett. Effective Ranking of XML Keyword Search Results (Extended Version), University of Illinois, UIUCDCS-R-2009-3043, 2009.

Index Terms

  1. Generic and effective semi-structured keyword search

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    KEYS '09: Proceedings of the First International Workshop on Keyword Search on Structured Data
    June 2009
    54 pages
    ISBN:9781605585703
    DOI:10.1145/1557670
    • General Chair:
    • M. Tamer Özsu,
    • Program Chairs:
    • Yi Chen,
    • Lei Chen
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 June 2009

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article

    Conference

    SIGMOD/PODS '09

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 140
      Total Downloads
    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Jan 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media