Title :
Modeling Chinese Painting Images Based on Ontology
Author :
Xinming Wu ; Guofeng Li ; Ye Liang
Author_Institution :
Coll. of Math. & Inf. Tech. Sci., Langfang Teacher´s Coll., Langfang, China
Abstract :
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.
Keywords :
art; image processing; image retrieval; ontologies (artificial intelligence); painting; CRM ontology; image processing techniques; information integration; knowledge sharing; modeling Chinese painting images; ontology construction; retrieval framework; Art; Object oriented modeling; Ontologies; Page description languages; Painting; Seals; Semantics; CRM; Semantic model; ontology; traditional Chinese painting;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.32