NDLI: A method of Chinese document expression for extracting formal context

Content Provider	IEEE Xplore Digital Library
Author	Yinghui Huang Guanyu Li Dongyan Wang
Copyright Year	2010
Description	Author affiliation: Information Science and Technology College, Dalian Maritime University, China (Yinghui Huang; Guanyu Li; Dongyan Wang)
Abstract	As a kind of data model, a formal context must be extracted from some actual data sources such as documents. For case of unstructured Chinese document, it is the first question to decide how to express the document. Vector space model (VSM) which is the dominant model of document expression now takes a single word as a feature item, so that neglects the lexical semantic relationship between words in a natural language, thereby it cannot show the semantic information implied in the documents. This paper discusses an improved method which is to take Hownet as knowledge base, to establish the concept vector space of Chinese document by using the set of similar word set to replace the single feature word in VSM. This method is convenient to extract a formal context according to the threshold made by users, and how to apply it is illustrated by an example.
Starting Page	3020
Ending Page	3023
File Size	234686
Page Count	4
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5639893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context VSM Semantics Knowledge based systems formal context Feature extraction document expression set of similar word set Data mining Mathematical model Driver circuits
Content Type	Text
Resource Type	Article

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