{"title":"从web信息源构建摘要","authors":"A. d’Acierno, V. Moscato, A. Picariello","doi":"10.1109/WIAMIS.2009.5031431","DOIUrl":null,"url":null,"abstract":"Document summarization techniques can be profitably used for automatic production and delivery of multimedia information. In this paper we describe a system for summarizing HTML documents (retrieved from the Internet) using several heuristic optimization criteria. An overview of the system and some preliminary results are described.","PeriodicalId":233839,"journal":{"name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Building summaries from web information sources\",\"authors\":\"A. d’Acierno, V. Moscato, A. Picariello\",\"doi\":\"10.1109/WIAMIS.2009.5031431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Document summarization techniques can be profitably used for automatic production and delivery of multimedia information. In this paper we describe a system for summarizing HTML documents (retrieved from the Internet) using several heuristic optimization criteria. An overview of the system and some preliminary results are described.\",\"PeriodicalId\":233839,\"journal\":{\"name\":\"2009 10th Workshop on Image Analysis for Multimedia Interactive Services\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 10th Workshop on Image Analysis for Multimedia Interactive Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIAMIS.2009.5031431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIAMIS.2009.5031431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Document summarization techniques can be profitably used for automatic production and delivery of multimedia information. In this paper we describe a system for summarizing HTML documents (retrieved from the Internet) using several heuristic optimization criteria. An overview of the system and some preliminary results are described.
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