CLC number: TP391.2;TP273.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
Clicked: 5024
HUANG Yan, YU Hong-feng, GENG Wei-dong, PAN Yun-he. A natural language user interface for fuzzy scope queries[J]. Journal of Zhejiang University Science A, 2003, 4(2): 152-161.
@article{title="A natural language user interface for fuzzy scope queries",
author="HUANG Yan, YU Hong-feng, GENG Wei-dong, PAN Yun-he",
journal="Journal of Zhejiang University Science A",
volume="4",
number="2",
pages="152-161",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0152"
}
%0 Journal Article
%T A natural language user interface for fuzzy scope queries
%A HUANG Yan
%A YU Hong-feng
%A GENG Wei-dong
%A PAN Yun-he
%J Journal of Zhejiang University SCIENCE A
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%N 2
%P 152-161
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%D 2003
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0152
TY - JOUR
T1 - A natural language user interface for fuzzy scope queries
A1 - HUANG Yan
A1 - YU Hong-feng
A1 - GENG Wei-dong
A1 - PAN Yun-he
J0 - Journal of Zhejiang University Science A
VL - 4
IS - 2
SP - 152
EP - 161
%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2003.0152
Abstract: This paper presents a two-agent framework to build a natural language query interface for IC information system, focusing more on scope queries in a single English sentence. The first agent, parsing agent, syntactically processes and semantically interprets natural language sentence to construct a fuzzy structured query language (SQL) statement. The second agent, defuzzifying agent, defuzzifies the imprecise part of the fuzzy SQL statement into its equivalent executable precise SQL statement based on fuzzy rules. The first agent can also actively ask the user some necessary questions when it manages to disambiguate the vague retrieval requirements. The adaptive defuzzification approach employed in the defuzzifying agent is discussed in detail. A prototype interface has been implemented to demonstrate the effectiveness.
[1]Allen, J., 1995. Natural Language understanding. 2nd edition, The Benjamin/Cummipngs Publishing Company, Inc., USA.
[2]Bosc, P., Galibourg, M. and Hamon, G., 1998. Fuzzy querying with SQL: extensions and implementations aspects. Fuzzy Sets Syst., 28: 333-349.
[3]Kacprzyk, J. and Zadrozny, S., 1996. A fuzzy querying interface for a WWW-server-based relational DBMS. 12Proceedings of IPMU'96 - Sixth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Granada, Spain, 1: p.19-24.
[4]Kacprzyk, J. and Zadrozny, S., 2001. Computing with word in intelligent database querying: standalone and Internet-based applications. Information Sciences, 134:71-109.
[5]Pritchard-Schoch, T., 1993. Natural language comes of age. Onine, 17(3): 33-43.
[6]Tahani, V., 1977. A conceptual framework for fuzzy query processing: a step toward very intelligent data systems. Inf. Process. Manage, 13: 289-303.
[7]Van Rijsbergen, C.J. and Agosti, M., 1993. The context of information retrieval. The Computer Journal, 35(3):193.
[8]Wang, F.G., 1994. Towards a natural language user interface: an approach of fuzzy query. Int. J. Geographic. Inform. Systems, 8: 143-162.
[9]Wang F.G., 2000. A fuzzy grammar and possibility theory-based natural language user interface for spatial queries. Fuzzy Sets and Systems, 113: 147-159.
[10]Zadeh, Lotfi A., 1999. From computing with numbers to computing with words---from manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems, 45:105-119.
[11]Zemankova, M. and Kacprzyk, J., 1993. Introduction: the roles of fuzzy logic and management of uncertainty in building intelligent information systems. Inform. Systems, 2: 311-317.
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