{"title":"SEMPL:语义门户","authors":"Matt Perry, Eric Stiles","doi":"10.1145/1013367.1013509","DOIUrl":null,"url":null,"abstract":"Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1]. As one illustration of semantic web technology in action, we present SEMPL, a semantic web portal for the Large Scale Distributed Information Systems lab (LSDIS) at the University of Georgia. SEMPL, which is powered by a state of the art commercial system, Semagix Freedom [7], uses an ontology-driven approach to provide semantic browsing, linking, and contextual querying of content within the portal. By using the ontology based information integration technique, SEMPL can specify the context of a particular piece of research information, annotate web pages, and provide links to semantically related areas enabling a rich contextual retrieval of information.","PeriodicalId":409891,"journal":{"name":"WWW Alt. '04","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"SEMPL: a semantic portal\",\"authors\":\"Matt Perry, Eric Stiles\",\"doi\":\"10.1145/1013367.1013509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1]. As one illustration of semantic web technology in action, we present SEMPL, a semantic web portal for the Large Scale Distributed Information Systems lab (LSDIS) at the University of Georgia. SEMPL, which is powered by a state of the art commercial system, Semagix Freedom [7], uses an ontology-driven approach to provide semantic browsing, linking, and contextual querying of content within the portal. By using the ontology based information integration technique, SEMPL can specify the context of a particular piece of research information, annotate web pages, and provide links to semantically related areas enabling a rich contextual retrieval of information.\",\"PeriodicalId\":409891,\"journal\":{\"name\":\"WWW Alt. '04\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WWW Alt. '04\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1013367.1013509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WWW Alt. '04","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1013367.1013509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1]. As one illustration of semantic web technology in action, we present SEMPL, a semantic web portal for the Large Scale Distributed Information Systems lab (LSDIS) at the University of Georgia. SEMPL, which is powered by a state of the art commercial system, Semagix Freedom [7], uses an ontology-driven approach to provide semantic browsing, linking, and contextual querying of content within the portal. By using the ontology based information integration technique, SEMPL can specify the context of a particular piece of research information, annotate web pages, and provide links to semantically related areas enabling a rich contextual retrieval of information.