{"title":"基于实体类型的语义搜索:语义框架","authors":"Amit Kumar, Govind, M. Spaniol","doi":"10.1145/3442442.3458607","DOIUrl":null,"url":null,"abstract":"Capturing and exploiting a content’s semantic is a key success factor for Web search. To this end, it is crucial to - ideally automatically - extract the core semantics of the data being processed and link this information with some formal representation, such as an ontology. By intertwining both, search becomes semantic by simultaneously allowing end-users a structured access to the data via the underlying ontology. Connecting both, we introduce the SEMANNOREX framework in order to provide semantically enriched access to a news corpus from Websites and Wikinews.","PeriodicalId":129420,"journal":{"name":"Companion Proceedings of the Web Conference 2021","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Semantic Search via Entity-Types: The SEMANNOREX Framework\",\"authors\":\"Amit Kumar, Govind, M. Spaniol\",\"doi\":\"10.1145/3442442.3458607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Capturing and exploiting a content’s semantic is a key success factor for Web search. To this end, it is crucial to - ideally automatically - extract the core semantics of the data being processed and link this information with some formal representation, such as an ontology. By intertwining both, search becomes semantic by simultaneously allowing end-users a structured access to the data via the underlying ontology. Connecting both, we introduce the SEMANNOREX framework in order to provide semantically enriched access to a news corpus from Websites and Wikinews.\",\"PeriodicalId\":129420,\"journal\":{\"name\":\"Companion Proceedings of the Web Conference 2021\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Proceedings of the Web Conference 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3442442.3458607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Proceedings of the Web Conference 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3442442.3458607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic Search via Entity-Types: The SEMANNOREX Framework
Capturing and exploiting a content’s semantic is a key success factor for Web search. To this end, it is crucial to - ideally automatically - extract the core semantics of the data being processed and link this information with some formal representation, such as an ontology. By intertwining both, search becomes semantic by simultaneously allowing end-users a structured access to the data via the underlying ontology. Connecting both, we introduce the SEMANNOREX framework in order to provide semantically enriched access to a news corpus from Websites and Wikinews.