Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval
Given its effectiveness to better understand data, ontology has been used in various domains including artificial intelligence, biomedical informatics and library science. What we have tried to promote is the use of ontology to better understand media (in particular, images) on the World Wide Web. T...
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sg-smu-ink.sis_research-62012021-11-17T01:32:04Z Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval WANG, Huan JIANG, Xing CHIA, Liang-Tien TAN, Ah-hwee Given its effectiveness to better understand data, ontology has been used in various domains including artificial intelligence, biomedical informatics and library science. What we have tried to promote is the use of ontology to better understand media (in particular, images) on the World Wide Web. This paper describes our preliminary attempt to construct a large-scale multi-modality ontology, called AutoMMOnto, for web image classification. Particularly, to enable the automation of text ontology construction, we take advantage of both structural and content features of Wikipedia and formalize real world objects in terms of concepts and relationships. For visual part, we train classifiers according to both global and local features, and generate middle-level concepts from the training images. A variant of the association rule mining algorithm is further developed to refine the built ontology. Our experimental results show that our method allows automatic construction of large-scale multi-modality ontology with high accuracy from challenging web image data set 2010-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5198 https://ink.library.smu.edu.sg/context/sis_research/article/6201/viewcontent/304_371_1_PB.pdf http://creativecommons.org/licenses/by/3.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University wikipedia semantic concept ontology web image classification Databases and Information Systems Systems Architecture |
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wikipedia semantic concept ontology web image classification Databases and Information Systems Systems Architecture WANG, Huan JIANG, Xing CHIA, Liang-Tien TAN, Ah-hwee Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
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Given its effectiveness to better understand data, ontology has been used in various domains including artificial intelligence, biomedical informatics and library science. What we have tried to promote is the use of ontology to better understand media (in particular, images) on the World Wide Web. This paper describes our preliminary attempt to construct a large-scale multi-modality ontology, called AutoMMOnto, for web image classification. Particularly, to enable the automation of text ontology construction, we take advantage of both structural and content features of Wikipedia and formalize real world objects in terms of concepts and relationships. For visual part, we train classifiers according to both global and local features, and generate middle-level concepts from the training images. A variant of the association rule mining algorithm is further developed to refine the built ontology. Our experimental results show that our method allows automatic construction of large-scale multi-modality ontology with high accuracy from challenging web image data set |
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WANG, Huan JIANG, Xing CHIA, Liang-Tien TAN, Ah-hwee |
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WANG, Huan JIANG, Xing CHIA, Liang-Tien TAN, Ah-hwee |
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WANG, Huan |
title |
Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
title_short |
Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
title_full |
Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
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Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
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Wikipedia2Onto: Building concept ontology automatically, experimenting with web image retrieval |
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wikipedia2onto: building concept ontology automatically, experimenting with web image retrieval |
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Institutional Knowledge at Singapore Management University |
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2010 |
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https://ink.library.smu.edu.sg/sis_research/5198 https://ink.library.smu.edu.sg/context/sis_research/article/6201/viewcontent/304_371_1_PB.pdf |
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