{"title":"面向科学可视化的本体构建","authors":"Lijun Xie, Yao Zheng, Bin Shen","doi":"10.1109/IMSCCS.2006.96","DOIUrl":null,"url":null,"abstract":"Ontology for scientific visualization is constructed in our laboratory. Its framework, construction method and design trade-off decision are presented in this paper. The ontology is composed of four main pillars: dataset, filter, device and pipeline, and they are then further decomposed into many sub-components. Using this concept of ontology can help scientists and engineers in various aspects such as communicating and sharing, quick learning, knowledge reusing, etc. As an application, we developed a semantic grid service for scientific visualization based on this ontology","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ontology Construction for Scientific Visualization\",\"authors\":\"Lijun Xie, Yao Zheng, Bin Shen\",\"doi\":\"10.1109/IMSCCS.2006.96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology for scientific visualization is constructed in our laboratory. Its framework, construction method and design trade-off decision are presented in this paper. The ontology is composed of four main pillars: dataset, filter, device and pipeline, and they are then further decomposed into many sub-components. Using this concept of ontology can help scientists and engineers in various aspects such as communicating and sharing, quick learning, knowledge reusing, etc. As an application, we developed a semantic grid service for scientific visualization based on this ontology\",\"PeriodicalId\":202629,\"journal\":{\"name\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMSCCS.2006.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMSCCS.2006.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ontology Construction for Scientific Visualization
Ontology for scientific visualization is constructed in our laboratory. Its framework, construction method and design trade-off decision are presented in this paper. The ontology is composed of four main pillars: dataset, filter, device and pipeline, and they are then further decomposed into many sub-components. Using this concept of ontology can help scientists and engineers in various aspects such as communicating and sharing, quick learning, knowledge reusing, etc. As an application, we developed a semantic grid service for scientific visualization based on this ontology
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