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Group-by and aggregate functions in XML keyword search
Citation
Le, TN and Bao, Z and Ling, TW and Dobbie, G, Group-by and aggregate functions in XML keyword search, Database and Expert Systems Applications, 1-4 September 2014, Munich, Germany, pp. 105-121. ISBN 978-3-319-10072-2 (2014) [Refereed Conference Paper]
Copyright Statement
Copyright 2014 Springer
DOI: doi:10.1007/978-3-319-10073-9_10
Abstract
In this paper, we study how to support group-by and aggregate functions
in XML keyword search. It goes beyond the simple keyword query, and
raises several challenges including: (1) how to address the keyword ambiguity
problem when interpreting a keyword query; (2) how to identify duplicated objects
and relationships in order to guarantee the correctness of the results of aggregation
functions; and (3) how to compute a keyword query with group-by and
aggregate functions.We propose an approach to address the above challenges. As
a result, our approach enables users to explore the data as much as possible with
simple keyword queries. The experimental results on real datasets demonstrate
that our approach can support keyword queries with group-by and aggregate functions
which are not addressed by the LCA-based approaches while achieving a
similar response time to that of LCA-based approaches.
Item Details
Item Type: | Refereed Conference Paper |
---|---|
Keywords: | query processing |
Research Division: | Information and Computing Sciences |
Research Group: | Data management and data science |
Research Field: | Data management and data science not elsewhere classified |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS Author: | Bao, Z (Dr Zhifeng Bao) |
ID Code: | 92371 |
Year Published: | 2014 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-06-17 |
Last Modified: | 2015-04-27 |
Downloads: | 0 |
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