NDLI: Large-scale documents reduction based on domain ontology and E2LSH

Content Provider	IEEE Xplore Digital Library
Author	Hongmei Li Wenning Hao Gang Chen Xianglin Liao
Copyright Year	2014
Description	Author affiliation: Inst. of Command Inf. Syst., PLA Univ. of Sci.&Technol., Nanjing, China (Hongmei Li; Wenning Hao; Gang Chen; Xianglin Liao)
Abstract	Large-scale documents reduction plays a critical role in document management organizing and document mining, etc, and the research is concentrated on two special aspects: the construction of document representation model and index optimization of feature space for similarity search. While the semantic gap and curse of dimensionality are still two open and tough issues. Motivated by this, in the paper, we propose a novel method based on domain ontology and E2LSH (Exact Euclidean Locality-Sensitive Hashing). Firstly, we build an improved model based on domain ontology, called Semantic Vector Space Model (SVSM), to reveal the latent semantic relationships among document feature terms besides syntax information. The SVSM shortens the semantic gap of traditional VSM and reduces feature dimension. Then in view of the complexity of searching space for the similarity computation among documents pairs, we introduce E2LSH to build indexes of feature space, optimizing the searching space and overcoming the curse of dimensionality. Experimental validation has been conducted using realistic documents, and experimental results indicate the rationality and effectiveness of our method.
Starting Page	24
Ending Page	29
File Size	620849
Page Count	6
File Format	PDF
ISBN	9781479931064
DOI	10.1109/ICNSC.2014.6819594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes similarity computation documents reduction domain ontology semantic relationship VSM E2LSH
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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