{"title":"SparkWords","authors":"R. Brath","doi":"10.1201/9780429290565-16","DOIUrl":null,"url":null,"abstract":"SparkWords are consistently-sized words embedded in prose, lists or tables; enhanced with additional data including (a) categoric, ordered or quantitative data; (b) encoded by a variety of attributes (singular or multiple); and (c) applied to words or letters. Historic examples and sample implementations show a range of novel techniques and different uses. CCS Concepts • Human-centered computing → Visualization techniques; • Applied computing → Document searching;","PeriodicalId":123041,"journal":{"name":"Visualizing with Text","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SparkWords\",\"authors\":\"R. Brath\",\"doi\":\"10.1201/9780429290565-16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SparkWords are consistently-sized words embedded in prose, lists or tables; enhanced with additional data including (a) categoric, ordered or quantitative data; (b) encoded by a variety of attributes (singular or multiple); and (c) applied to words or letters. Historic examples and sample implementations show a range of novel techniques and different uses. CCS Concepts • Human-centered computing → Visualization techniques; • Applied computing → Document searching;\",\"PeriodicalId\":123041,\"journal\":{\"name\":\"Visualizing with Text\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visualizing with Text\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9780429290565-16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualizing with Text","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9780429290565-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SparkWords are consistently-sized words embedded in prose, lists or tables; enhanced with additional data including (a) categoric, ordered or quantitative data; (b) encoded by a variety of attributes (singular or multiple); and (c) applied to words or letters. Historic examples and sample implementations show a range of novel techniques and different uses. CCS Concepts • Human-centered computing → Visualization techniques; • Applied computing → Document searching;