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Building a Scalable Database-Driven Reverse Dictionary

delete2013-03-01
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PRE
AI
R
Ryan Shaw *
A
Anindya Datta
D
Debra VanderMeer
K
Kaushik Dutta
DOI:10.1109/TKDE.2011.225delete
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Abstract

Abstract

En 中文
In this paper, we describe the design and implementation of a reverse dictionary. Unlike a traditional forward dictionary, which maps from words to their definitions, a reverse dictionary takes a user input phrase describing the desired concept, and returns a set of candidate words that satisfy the input phrase. This work has significant application not only for the general public, particularly those who work closely with words, but also in the general field of conceptual search. We present a set of algorithms and the results of a set of experiments showing the retrieval accuracy of our methods and the runtime response time performance of our implementation. Our experimental results show that our approach can provide significant improvements in performance scale without sacrificing the quality of the result. Our experiments comparing the quality of our approach to that of currently available reverse dictionaries show that of our approach can provide significantly higher quality over either of the other currently available implementations.
Keywords:
Dictionaries
thesauruses
search process
web-based services
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Journal

IEEE Transactions on Knowledge and Data Engineering cover
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
Papers:
6.8K
Citations:
3.2W

Organization

State University System of Florida cover
State University System of Florida
Scholars:
12.7W
Papers: 10.9W
Citations: 130
G
Google Incorporated
Scholars:
3.5K
Papers: 1.8K
Citations: 8
N
National University of Singapore
Scholars:
7.5W
Papers: 6.5W
Citations: 11.4W
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