{"title":"语义Web标注的本体关系提取","authors":"Li Dong, Huang Linpeng","doi":"10.1109/ICICSE.2008.95","DOIUrl":null,"url":null,"abstract":"The idea of the Semantic Web (SW) is based on metadata. We have proposed an architecture needed to generate metadata for the SW. Our proposed architecture is designed to generate metadata from HTML Web Pages from the domain of our interest. The domain model is represented by using domain ontology. The focus of the paper is to investigate the automatic generation of metadata for the SW by relation extraction techniques. Our assumption is that any two web pages that have some kind of relationship must be connected by a link or a path. Our algorithm exploits the link structure of web using breadth first search for relation extraction. Relation extraction results show that hyperlink structure of the Web can be used for relation extraction.","PeriodicalId":333889,"journal":{"name":"2008 International Conference on Internet Computing in Science and Engineering","volume":"224 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"The Ontology Relation Extraction for Semantic Web Annotation\",\"authors\":\"Li Dong, Huang Linpeng\",\"doi\":\"10.1109/ICICSE.2008.95\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The idea of the Semantic Web (SW) is based on metadata. We have proposed an architecture needed to generate metadata for the SW. Our proposed architecture is designed to generate metadata from HTML Web Pages from the domain of our interest. The domain model is represented by using domain ontology. The focus of the paper is to investigate the automatic generation of metadata for the SW by relation extraction techniques. Our assumption is that any two web pages that have some kind of relationship must be connected by a link or a path. Our algorithm exploits the link structure of web using breadth first search for relation extraction. Relation extraction results show that hyperlink structure of the Web can be used for relation extraction.\",\"PeriodicalId\":333889,\"journal\":{\"name\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"volume\":\"224 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSE.2008.95\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Internet Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2008.95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Ontology Relation Extraction for Semantic Web Annotation
The idea of the Semantic Web (SW) is based on metadata. We have proposed an architecture needed to generate metadata for the SW. Our proposed architecture is designed to generate metadata from HTML Web Pages from the domain of our interest. The domain model is represented by using domain ontology. The focus of the paper is to investigate the automatic generation of metadata for the SW by relation extraction techniques. Our assumption is that any two web pages that have some kind of relationship must be connected by a link or a path. Our algorithm exploits the link structure of web using breadth first search for relation extraction. Relation extraction results show that hyperlink structure of the Web can be used for relation extraction.
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