Study and implementation of Chinese semantic computation based on conceptual graph

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (10): 120-123.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Study and implementation of Chinese semantic computation based on conceptual graph

ZHANG Xiaoluan，WANG Xifeng

Department of Computer Science，Baoji University Arts & Sciences，Baoji，Shaanxi 721007，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-04-01 Published:2011-04-01

基于概念图的汉语语义计算的研究与实现

张晓孪，王西锋

宝鸡文理学院计算机科学系，陕西宝鸡 721007

Abstract

Abstract: The development of Chinese information processing requires strengthening Chinese semantic theory research urgently，especially Chinese semantic representation and semantic computation’s research.For the problem of Chinese semantic analysis method has the inaccurate result，the method of Chinese semantic computation based on conceptual graph is proposed.With HowNet as the semantic knowledge resource and conceptual graphs as knowledge representation method，it concerts the natural language text into conceptual graphs and realizes semantic commutation by way of conceptual graph matching，in order to improve the effects of the Chinese semantic analysis.The experimental results prove that it is effective to the Chinese semantic analysis.

Key words: HowNet, conceptual graph, semantic computation, similarity, matching

摘要： 中文信息处理的发展迫切需要加强汉语语义理论的研究，尤其是汉语语义表示形式和语义计算的研究。针对目前汉语语义计算方法的计算结果并不准确的问题，提出了一种基于概念图的汉语语义计算方法。该方法以“知网”为语义知识资源，以概念图为知识表示方法，把自然语言文本转化为概念图，通过概念图的匹配实现语义计算，以改善语义计算的效果。实验结果表明该方法对汉语语义计算是有效的。

关键词: 知网, 概念图, 语义计算, 相似度, 匹配

ZHANG Xiaoluan，WANG Xifeng. Study and implementation of Chinese semantic computation based on conceptual graph[J]. Computer Engineering and Applications, 2011, 47(10): 120-123.

张晓孪，王西锋. 基于概念图的汉语语义计算的研究与实现[J]. 计算机工程与应用, 2011, 47(10): 120-123.

[1]	ZHANG Qishan, CHEN Lulu. Slope One Algorithm Based on Grey Correlational Analysis by Method of Degree of Balance and Approach [J]. Computer Engineering and Applications, 2021, 57(9): 96-102.
[2]	WANG Yonggui, LI Qianyu. Hybrid Collaborative Filtering Recommendation Algorithm Based on KNN-GBDT [J]. Computer Engineering and Applications, 2021, 57(9): 103-108.
[3]	ZHU Jian, LIU Peiyu, CHEN Bingfeng, CAI Ruichu. Image De-raining via Similar Patch Matching and Minimum Value Filtering [J]. Computer Engineering and Applications, 2021, 57(9): 191-198.
[4]	ZHANG Xu, YUAN Xumei, YUAN Jige. Research on Methods for Supply-Demand Matching Decision-Making Based on Broker [J]. Computer Engineering and Applications, 2021, 57(9): 240-246.
[5]	ZHANG Songcan, PU Jiexin, SI Yanna, SUN Lifan. Adaptive Improved Ant Colony Algorithm Based on Population Similarity and Its Application [J]. Computer Engineering and Applications, 2021, 57(8): 70-77.
[6]	ZHANG Xiaowen, REN Yongfeng. Image Matching Algorithm Combining Sparse Representation and Topological Similarity [J]. Computer Engineering and Applications, 2021, 57(8): 198-203.
[7]	TANG Guozhi, LI Dinggen. Research on Pedestrian Tracking Algorithms with Deep Learning and Space-Time Constraints [J]. Computer Engineering and Applications, 2021, 57(7): 121-129.
[8]	YANG Fang, YIN Xi, SI Jianhui, LIU Hongyuan, WANG Xue. Mathematical Expression Similarity Calculation Method Based on Focus Clustering [J]. Computer Engineering and Applications, 2021, 57(6): 88-93.
[9]	QIAN Yunyun, YANG Wenzhong, YAO Miao, LI Hailei, CHAI Yachuang. Topic Community Discovery Model Incorporating Topic Similarity Weight [J]. Computer Engineering and Applications, 2021, 57(5): 107-114.
[10]	ZHANG Zhongmin, LIU Jinxin, XI Zhihong. Disparity Optimization Algorithm Using Entropy Rate Super-Pixel Segmentation Consistency Check [J]. Computer Engineering and Applications, 2021, 57(5): 204-209.
[11]	WEI Baoguo, ZHANG Yulan, ZHOU Jiaming. Feature Point Selection for Image Matching [J]. Computer Engineering and Applications, 2021, 57(3): 208-214.
[12]	JIANG Bin, LIANG Xiao’an, ZHANG Liang, GAO Yangjun. Evidence Combination Method Based on Improved Modified Weight [J]. Computer Engineering and Applications, 2021, 57(24): 100-106.
[13]	CHEN Junfeng, ZHENG Zhongtuan. Over-Sampling Method on Imbalanced Data Based on WKMeans and SMOTE [J]. Computer Engineering and Applications, 2021, 57(23): 106-112.
[14]	TIAN Wei’an, CHEN Hongmei, ZHOU Lihua. Diversified Recommendation Method Based on Similar Users’Curiosity [J]. Computer Engineering and Applications, 2021, 57(23): 113-121.
[15]	CHANG Yawen, ZHAO Dongqing, SHAN Yanhu. Research on Stereo Matching Algorithm Based on Multi-feature Fusion and Adaptive Aggregation [J]. Computer Engineering and Applications, 2021, 57(23): 219-225.

Study and implementation of Chinese semantic computation based on conceptual graph

基于概念图的汉语语义计算的研究与实现

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics