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Folksonomy-Based Visual Ontology Construction and Its Applications | |
Fang, Quan1![]() ![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON MULTIMEDIA
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2016-04-01 | |
卷号 | 18期号:4页码:702-713 |
文章类型 | Article |
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. |
关键词 | Knowledge Discovery Ontology Visual Recognition |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TMM.2016.2527602 |
关键词[WOS] | CLASSIFICATION ; MULTIMEDIA ; SEMANTICS ; DATABASE ; ANNOTATION ; DETECTORS ; RETRIEVAL ; KNOWLEDGE ; IMAGES |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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) |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
WOS记录号 | WOS:000372790300012 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12192 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
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 |
第一作者单位 | 模式识别国家重点实验室 |
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. |
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