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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/86005
- Title
- Suggestion of promising result types for XML keyword search
- Author(s)
- Li, Jianxin; Liu, Chengfei; Zhou, Rui; Wang, Wei
- Abstract
- Although keyword query enables inexperienced users to easily search XML database with no specific knowledge of complex structured query languages or XML data schemas, the ambiguity of keyword query may result in generating a great number of results that may be classified into different types. For users, each result type implies a possible search intention. To improve the performance of keyword query, it is desirable to efficiently work out the most relevant result type from the data to be retrieved. Several recent research works have focused on this interesting problem by using data schema information or pure IR-style statical information. However, this problem is still open due to some requirements. (1) The data to be retrieved may not contain schema information; (2) Relevant result types should be efficiently computed before keyword query evaluation; (3) The correlation between a result type and a keyword query should be measured by analyzing the distribution of relevant values and structures within the data. As we know, none of existing work satisfies the above three requirements together. To address the problem, we propose an estimation-based approach to compute the promising result types for a keyword query, which can help a user quickly narrow down to her specific information need. To speed up the computation, we designed new algorithms based on the indexes to be built. Finally, we present a set of experimental results that evaluate the proposed algorithms and show the potential of this work.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology
- Source
- Advances in Database Technology: proceedings of the 13th International Conference on Extending Database Technology (EDBT 2010), Lausanne, Switzerland, 22-26 March 2010 / Ioana Manolescu, Stefano Spaccapietra, Jens Teubner, Masaru Kitsuregawa, Alain Leger, Felix Naumann, Anastasia Ailamaki and Fatma Ozcan (eds.), Vol. 426, pp. 561-572
- Publication year
- 2010
- FOR Code(s)
- 0804 Data Format
- Keyword(s)
- Keyword query; Keyword searches; Result type suggestion; XML
- Publisher
- ACM
- ISBN
- 9781605589459, 1605589454
- Publisher URL
- http://dx.doi.org/10.1145/1739041.1739108
- Copyright
- Copyright © ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of EDBT (2010) http://doi.acm.org/10.1145/1739041.1739108
- Full text

- Peer reviewed



