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An effective object-level XML keyword search
conference contribution
posted on 2023-05-23, 08:59 authored by Bao, Z, Lu, J, Ling, TW, Xu, L, Wu, HKeyword search is widely recognized as a convenient way to retrieve information from XML data. In order to precisely meet users’ search concerns, we study how to effectively return the targets that users intend to search for. We model XML document as a set of interconnected object-trees, where each object contains a subtree to represent a concept in the real world. Based on this model, we propose object-level matching semantics called Interested Single Object (ISO) and Interested Related Object (IRO) to capture single object and multiple objects as user’s search targets respectively, and design a novel relevance oriented ranking framework for the matching results. We propose efficient algorithms to compute and rank the query results in one phase. Finally, comprehensive experiments show the efficiency and effectiveness of our approach, and an online demo of our system on DBLP data is available at http://xmldb.ddns.comp.nus.edu.sg.
History
Publication title
Database Systems for Advanced Applications Part IEditors
H Kitagawa, Y Ishikawa, Q Li, C WatanabePagination
93-109ISBN
978-3-642-12025-1Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
Berlin, GermanyEvent title
15th International Conference on Database Systems for Advanced ApplicationsEvent Venue
Tsukuba, JapanDate of Event (Start Date)
2010-04-01Date of Event (End Date)
2010-04-04Rights statement
Copyright 2011 SpringerRepository Status
- Restricted