Please wait a minute...
New Technology of Library and Information Service  2008, Vol. 24 Issue (6): 1-5    DOI: 10.11925/infotech.1003-3513.2008.06.01
article Current Issue | Archive | Adv Search |
The Analysis to the Relations Between Frames
Tian Guangming1  Liu Yanling2
1 (Library of Shanxi Provincial Committee Party School of C.P.C, Taiyuan 030006, China)
2 (School of Management, Shanxi University, Taiyuan 030006,China)
Download: PDF (771 KB)  
Export: BibTeX | EndNote (RIS)      

 This paper represents the relationships between frames in FrameNet, and has detailed the relations which consists of Subframe, Perspective_on,Inheritance, Precedes,SeeAlso, Using, Inchoativeof and Causative-of relations, to provide a reference for the construction of Chinese Legal Framenet Onotology.

Key wordsFrameNet      Ontology      Semantic relation     
Received: 27 February 2008      Published: 25 May 2008


Corresponding Authors: Liu Yanling     E-mail:
About author:: Tian Guangming,Liu Yanling

Cite this article:

Tian Guangming,Liu Yanling. The Analysis to the Relations Between Frames. New Technology of Library and Information Service, 2008, 24(6): 1-5.

URL:     OR

[1] Fillmore C J, Johnson C R, Petruck M R. Background to Framenet[J]. International Journal of Lexicography,2003, 16(3): 235-250.
[2] 冯志伟. 从格语法到框架网络[J].解放军外国语学院学报,2006,29(3):1-9.
[3] FrameNet[EB/OL].[2007-11-20].
[4] Ruppenhofer J, Ellsworth M, Petruck M R,et al.FrameNet: Theory and Practice[EB/OL].(2005-06-13).[2007-11-20].
[5] Ruppenhofer J, Ellsworth M,Petruck M R, et al.FrameNetⅡ: Extended Theory and Practice[EB/OL].(2006-08-25).[2007-11-20].http://framenet.icsi.Berkeley. edu/index.php?option=com_wrapper&Itemid=126.
[6] Fillmore C J.Frame Semantics[M].Seoul: Hanshin Publishing Co.1982:111-137.

[1] Tian Zhonglin,Wu Xu,Xie Xiaqing,Xu Jin,Lu Yueming. Real-time Analysis Model for Short Texts with Relationship Graph of Domain Semantics[J]. 数据分析与知识发现, 2020, 4(2/3): 239-248.
[2] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[3] Shiqi Deng,Liang Hong. Constructing Domain Ontology for Intelligent Applications: Case Study of Anti Tele-Fraud[J]. 数据分析与知识发现, 2019, 3(7): 73-84.
[4] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[5] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[6] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[7] He Youshi,He Shufang. Sentiment Mining of Online Product Reviews Based on Domain Ontology[J]. 数据分析与知识发现, 2018, 2(8): 60-68.
[8] Tang Huihui,Wang Hao,Zhang Zixuan,Wang Xueying. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[9] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[10] Ding Shengchun,Liu Menglu,Fu Zhu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
[11] Tu Haili,Tang Xiaobo. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[12] Chen Erjing,Jiang Enbo. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
[13] Bai Rujiang,Leng Fuhai,Liao Junhua. An Improved Cosine Text Similarity Computing Method Based on Semantic Chunk Feature[J]. 数据分析与知识发现, 2017, 1(6): 56-64.
[14] Wu Dan,Liu Chang,Li Yi. Changing Sentiments of Pedestrian Navigation System Users[J]. 数据分析与知识发现, 2017, 1(5): 42-51.
[15] Cui Jiawang,Li Chunwang. Identifying Semantic Relations of Clusters Based on Linked Data[J]. 数据分析与知识发现, 2017, 1(4): 57-66.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938