Folksonomy-Based Visual Ontology Construction and Its Applications

doi:10.1109/TMM.2016.2527602

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Folksonomy-Based Visual Ontology Construction and Its Applications
	Fang, Quan1 ; Xu, Changsheng1 ; Sang, Jitao1 ; Hossain, M. Shamim 2; Ghoneim, Ahmed 2,3
刊名	IEEE TRANSACTIONS ON MULTIMEDIA
	2016-04-01
卷号	18 期号:4 页码:702-713
关键词	Knowledge Discovery Ontology Visual Recognition
DOI	10.1109/TMM.2016.2527602
文献子类	Article
英文摘要	An ontology hierarchically encodes concepts and concept relationships, and has a variety of applications such as semantic understanding and information retrieval. Previous work for building ontologies has primarily relied on labor-intensive human contributions or focused on text-based extraction. In this paper, we consider the problem of automatically constructing a folksonomy-based visual ontology (FBVO) from the user-generated annotated images. A systematic framework is proposed consisting of three stages as concept discovery, concept relationship extraction, and concept hierarchy construction. The noisy issues of the user-generated tags are carefully addressed to guarantee the quality of derived FBVO. The constructed FBVO finally consists of 139 825 concept nodes and millions of concept relationships by mining more than 2.4 million Flickr images. Experimental evaluations show that the derived FBVO is of high quality and consistent with human perception. We further demonstrate the utility of the derived FBVO in applications of complex visual recognition and exploratory image search.
WOS关键词	CLASSIFICATION ; MULTIMEDIA ; SEMANTICS ; DATABASE ; ANNOTATION ; DETECTORS ; RETRIEVAL ; KNOWLEDGE ; IMAGES
WOS研究方向	Computer Science ; Telecommunications
语种	英语
WOS记录号	WOS:000372790300012
资助机构	National Basic Research Program of China(2012CB316304) ; National Natural Science Foundation of China(61225009 ; Beijing Natural Science Foundation(4131004) ; Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia(RGP-229) ; 61432019 ; 61332016 ; 61303176 ; U1435211)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12192]
专题	自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia 3.Menoufia Univ, Dept Comp Sci, Coll Sci, Menoufia 32721, Egypt
推荐引用方式 GB/T 7714	Fang, Quan,Xu, Changsheng,Sang, Jitao,et al. Folksonomy-Based Visual Ontology Construction and Its Applications[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2016,18(4):702-713.
APA	Fang, Quan,Xu, Changsheng,Sang, Jitao,Hossain, M. Shamim,&Ghoneim, Ahmed.(2016).Folksonomy-Based Visual Ontology Construction and Its Applications.IEEE TRANSACTIONS ON MULTIMEDIA,18(4),702-713.
MLA	Fang, Quan,et al."Folksonomy-Based Visual Ontology Construction and Its Applications".IEEE TRANSACTIONS ON MULTIMEDIA 18.4(2016):702-713.