Processing XML keyword search by constructing effective structured queries

Jianxin Li, C. Liu, R. Zhou, B. Ning

    Research output: Chapter in Book/Conference paperConference paper

    17 Citations (Scopus)

    Abstract

    Recently, keyword search has attracted a great deal of attention in XML database. It is hard to directly improve the relevancy of XML keyword search because lots of keyword-matched nodesmay not contribute to the results. To address this challenge, in this paper we design an adaptive XML keyword search approach, called XBridge, that can derive the semantics of a keyword query and generate a set of effective structured queries by analyzing the given keyword query and the schemas of XML data sources. To efficiently answer keyword query, we only need to evaluate the generated structured queries over the XML data sources with any existingXQuery search engine. In addition,we extend our approach to process top-k keyword search based on the execution plan to be proposed. The quality of the returned answers can be measured using the context of the keyword-matched nodes and the contents of the nodes together. The effectiveness and efficiency of XBridge is demonstrated with an experimental performance study on real XML data. © Springer-Verlag Berlin Heidelberg 2009.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages88-99
    Number of pages12
    Volume5446
    DOIs
    Publication statusPublished - 2009
    EventAdvances in Data and Web Management, Joint International Conferences, APWeb/WAIM 2009 - Suzhou, China
    Duration: 2 Apr 20094 Apr 2009

    Conference

    ConferenceAdvances in Data and Web Management, Joint International Conferences, APWeb/WAIM 2009
    CountryChina
    CitySuzhou
    Period2/04/094/04/09

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