{"title":"基于可扩展本体网络的辅助上下文建模的视频内容半自动知识提取、表示和上下文敏感智能检索","authors":"A. Badii, Chattun Lallah, Meng Zhu, M. Crouch","doi":"10.1007/978-3-642-19551-8_17","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":201782,"journal":{"name":"Multimedia Analysis, Processing and Communications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Semi-automatic Knowledge Extraction, Representation, and Context-Sensitive Intelligent Retrieval of Video Content Using Collateral Context Modelling with Scalable Ontological Networks\",\"authors\":\"A. Badii, Chattun Lallah, Meng Zhu, M. Crouch\",\"doi\":\"10.1007/978-3-642-19551-8_17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":201782,\"journal\":{\"name\":\"Multimedia Analysis, Processing and Communications\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multimedia Analysis, Processing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-642-19551-8_17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multimedia Analysis, Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-642-19551-8_17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semi-automatic Knowledge Extraction, Representation, and Context-Sensitive Intelligent Retrieval of Video Content Using Collateral Context Modelling with Scalable Ontological Networks