{"title":"表示多个重叠分类的两种方法:比较[植物分类学]","authors":"C. Raguenaud, Martin Graham, J. Kennedy","doi":"10.1109/SSDM.2001.938556","DOIUrl":null,"url":null,"abstract":"One of the tasks of plant taxonomy is the creation of classifications of organisms that allows the understanding of the evolutionary relationships between them. In this paper, we describe two different data models that have been designed to support two aspects of taxonomic work: the storage of the information and the visualisation of that information. We show that these two models are different because of their constraints and aims, and we compare their abilities using a number of typical tasks that users perform. We also show that, although different and able to perform different tasks, each of these models is well adapted to its purpose, and tight integration is difficult.","PeriodicalId":129323,"journal":{"name":"Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Two approaches to representing multiple overlapping classifications: a comparison [plant taxonomy]\",\"authors\":\"C. Raguenaud, Martin Graham, J. Kennedy\",\"doi\":\"10.1109/SSDM.2001.938556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the tasks of plant taxonomy is the creation of classifications of organisms that allows the understanding of the evolutionary relationships between them. In this paper, we describe two different data models that have been designed to support two aspects of taxonomic work: the storage of the information and the visualisation of that information. We show that these two models are different because of their constraints and aims, and we compare their abilities using a number of typical tasks that users perform. We also show that, although different and able to perform different tasks, each of these models is well adapted to its purpose, and tight integration is difficult.\",\"PeriodicalId\":129323,\"journal\":{\"name\":\"Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSDM.2001.938556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDM.2001.938556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two approaches to representing multiple overlapping classifications: a comparison [plant taxonomy]
One of the tasks of plant taxonomy is the creation of classifications of organisms that allows the understanding of the evolutionary relationships between them. In this paper, we describe two different data models that have been designed to support two aspects of taxonomic work: the storage of the information and the visualisation of that information. We show that these two models are different because of their constraints and aims, and we compare their abilities using a number of typical tasks that users perform. We also show that, although different and able to perform different tasks, each of these models is well adapted to its purpose, and tight integration is difficult.