Modeling Chinese Painting Images Based on Ontology

被引：1
|
作者：
Wu, XinMing [2 ]
Li, GuoFeng [2 ]
Liang, Ye [1 ]
机构：
[1] Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China
[2] Langfang Teachers Coll, Coll Math & Informat Tech sci, Langfang 06500, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA) | 2013年
关键词：
traditional Chinese painting; ontology; CRM; Semantic model;
D O I：
10.1109/ITA.2013.32
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Traditional Chinese painting is a unique form of art and highly regarded for its theory, expression and techniques throughout the world. However, popular image processing techniques have little been used in this specific domain. Especially, how to model traditional Chinese painting images based on ontology is a very important and urgent task. In the paper, the characteristics of traditional Chinese painting are analyzed firstly. Then, the process of constructing ontology for traditional Chinese painting is dissertated in details, including how to select appropriate classes and properties in CRM ontology and how to extend them in specific domain. In addition, the framework of retrieval is introduced. Ontology is a good avenue for knowledge sharing and information integration. The work of the paper is very meaning to information standardization in specific Chinese art image domain.
引用
收藏
页码：113 / 116
页数：4
相关论文
共 50 条
  • [41] Towards ontology-based retrieval of historical images
    Coustaty, Mickael
    Tsopze, Norbert
    Bouju, Alain
    Bertet, Karell
    Louis, Georges
    [J]. APPLIED ONTOLOGY, 2015, 10 (02) : 147 - 167
  • [42] Physically-based modeling of brush painting
    Lee, JT
    [J]. COMPUTER NETWORKS AND ISDN SYSTEMS, 1997, 29 (14): : 1571 - 1576
  • [43] Image-based synthesis of Chinese landscape painting
    Yu, JH
    Luo, GM
    Peng, GS
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2003, 18 (01) : 22 - +
  • [44] Image-based synthesis of Chinese landscape painting
    JinHui Yu
    GuoMing Luo
    QunSheng Peng
    [J]. Journal of Computer Science and Technology, 2003, 18 : 22 - 28
  • [45] Knowledge Modeling for Fuzzy Systems Based on Ontology
    Zhai, Jun
    Lv, Miao
    Li, Jianfeng
    Wang, Qinglian
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 3393 - 3397
  • [46] Ontology-based product family modeling
    Kim, Taioun
    Lee, Kyungjong
    Seok, Dongwon
    [J]. Proceedings of the Fourth International Conference on Information and Management Sciences, 2005, 4 : 85 - 92
  • [47] Modeling based on ontology for aviation offensive campaign
    Gao Wanying
    Huang Jian
    Wu Baibing
    Hao Ruizhe
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 2087 - 2091
  • [48] Enterprise business knowledge modeling based on ontology
    Song, Yan
    Huang, Lei
    [J]. PROCEEDINGS OF THE 2007 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE AND SYSTEM DYNAMICS: SUSTAINABLE DEVELOPMENT AND COMPLEX SYSTEMS, VOLS 1-10, 2007, : 1839 - 1843
  • [49] Geographic Process Modeling Based on Geographic Ontology
    Cao, Yuwei
    Huang, Yi
    Chen, Jing
    Sheng, Yehua
    [J]. OPEN GEOSCIENCES, 2018, 10 (01): : 782 - 796
  • [50] Ontology Based Modeling of Pandemic Simulation Scenarios
    Eriksson, Henrik
    Morin, Magnus
    Jenvald, Johan
    Gursky, Elin
    Holm, Einar
    Timpka, Toomas
    [J]. MEDINFO 2007: PROCEEDINGS OF THE 12TH WORLD CONGRESS ON HEALTH (MEDICAL) INFORMATICS, PTS 1 AND 2: BUILDING SUSTAINABLE HEALTH SYSTEMS, 2007, 129 : 755 - +
12345