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Design and Implementation of Network Visualization for Modern Chinese Words

Published: 27 October 2018 Publication History

Abstract

Data visualization is a visual representation of data. It can display the complex data in a graphical representation to allow users to observe the data and obtain the information they need from the observation of the human eye. The networking of Chinese words also requires visualization. Visualizing the relationship between Chinese words is essentially a visualization of the semantic structure of Chinese words. In the display of a large number of Chinese words' semantic structure, we can see the general distribution of Chinese words in the range we use.In this paper, the structure of Chinese word network is visualized based on the Chinese word network built in Research of Chinese Word Knowledge Graph Based on SLPA Algorithm.

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  1. Design and Implementation of Network Visualization for Modern Chinese Words

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    cover image ACM Other conferences
    ICBDR '18: Proceedings of the 2nd International Conference on Big Data Research
    October 2018
    221 pages
    ISBN:9781450364768
    DOI:10.1145/3291801
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Shandong Univ.: Shandong University
    • University of Queensland: University of Queensland
    • Dalian Maritime University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 October 2018

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    Author Tags

    1. Chinese words
    2. Semantic structure
    3. Word network
    4. data visualization

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