{"title":"基于SVG的LBS地理数据压缩技术研究","authors":"Yue Li, Yanhui Wang","doi":"10.1109/WISM.2010.120","DOIUrl":null,"url":null,"abstract":"With the development of LBS(Location Based Services), transportation of spatial data in wireless Web has become hot point in current research. After the existing solutions are compared and extended in the paper, a new SVG_ based solution is provided to represent and compress spatial data. And then the key technologies in the fields of SVG data compression are researched and resolved, in which the improved compression method combined simplified SVG representation and GZIP compression. The test result showed that SVG based method is appropriate to represent geodata in LBS, and the improved way to compress SVG based data is better than traditional way, in which the feasibility of the solution is validated.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Compression Technology for Geodata Based SVG in LBS\",\"authors\":\"Yue Li, Yanhui Wang\",\"doi\":\"10.1109/WISM.2010.120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of LBS(Location Based Services), transportation of spatial data in wireless Web has become hot point in current research. After the existing solutions are compared and extended in the paper, a new SVG_ based solution is provided to represent and compress spatial data. And then the key technologies in the fields of SVG data compression are researched and resolved, in which the improved compression method combined simplified SVG representation and GZIP compression. The test result showed that SVG based method is appropriate to represent geodata in LBS, and the improved way to compress SVG based data is better than traditional way, in which the feasibility of the solution is validated.\",\"PeriodicalId\":119569,\"journal\":{\"name\":\"2010 International Conference on Web Information Systems and Mining\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Web Information Systems and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISM.2010.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
随着LBS(Location Based Services)技术的发展，无线网络中空间数据的传输成为当前研究的热点。在对现有的空间数据表示方法进行比较和扩展后，提出了一种新的基于SVG_的空间数据表示和压缩方法。然后对SVG数据压缩领域的关键技术进行了研究和解决，其中改进的压缩方法将简化的SVG表示与GZIP压缩相结合。测试结果表明，基于SVG的方法适合LBS中地理数据的表示，改进后的基于SVG的数据压缩方法优于传统方法，验证了解决方案的可行性。
Research on Compression Technology for Geodata Based SVG in LBS
With the development of LBS(Location Based Services), transportation of spatial data in wireless Web has become hot point in current research. After the existing solutions are compared and extended in the paper, a new SVG_ based solution is provided to represent and compress spatial data. And then the key technologies in the fields of SVG data compression are researched and resolved, in which the improved compression method combined simplified SVG representation and GZIP compression. The test result showed that SVG based method is appropriate to represent geodata in LBS, and the improved way to compress SVG based data is better than traditional way, in which the feasibility of the solution is validated.
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