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Folksonomy-Based Visual Ontology Construction and Its Applications

文献类型：期刊论文

作者Fang, Quan1; Xu, Changsheng1; Sang, Jitao1; Hossain, M. Shamim2; Ghoneim, Ahmed2,3
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2016-04-01
卷号18期号:4页码:702-713
关键词Knowledge Discovery Ontology Visual Recognition
DOI10.1109/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)
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.

入库方式： OAI收割

来源：自动化研究所

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