SBIR Phase I: Next Generation Intelligence-Based Extensible Markup Language (XML) Compression Technology

SBIR 第一阶段：下一代基于智能的可扩展标记语言（XML）压缩技术

• 批准号: 0441276
• 负责人: Mark Davis
• 金额: $ 10万
• 依托单位: UTOPIACOMPRESSION CORPORATION
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0441276&HistoricalAwards=false
• 关键词: SBIR; Phase; Next; Generation; Intelligence

Small Business Innovation Research Phase I research project will research and develop a next-generation enabling technology for networks and collaboration by significantly enhancing the compression of Internet data sources and Web Services. Current compression technologies are rarely integrated into the technology stacks of collaborative technologies because their compression performance does not add significantly to the overall performance of the system, especially for relatively small and sparse data like HTML and XML. In this project the research team plans to enhance its current XML compression technology, which can result in greater than 500% better compression ratios than standard methods on small Web Services documents, to operate over the broader range of unstructured and semi-structured Internet and intranet data types, including HTML and email. The firm will also research exploiting longer-range redundancies inherent in these data types based on novel compression methods to improve on their technology's existing XML performance characteristics. Finally, they will assess the technological and economic impacts of pervasive compression on the Internet ecosystem. The broader impacts of this technology include basic scientific improvements on known methods for compressing text and data, and improving the understanding of intelligent compression technologies and how to apply them to common Internet and intranet technology stacks. The technological approach is uniquely capable of supporting routing, mining and filtering of Web data and email based on content while in compressed form. Significant adoption of high-performance compression technology has dramatic economic implications for modern business, academic and scientific organizations in terms of the size, cost and nature of their information technology infrastructure. The amount of semi-structured data is anticipated to continue to grow dramatically and the economic impact of improving resource utilization for transmission, routing and storage of that data will grow dramatically as well.

小企业创新研究第一阶段研究项目将通过显著增强互联网数据源和Web服务的压缩，研究和开发下一代网络和协作使能技术。当前的压缩技术很少集成到协作技术的技术栈中，因为它们的压缩性能并没有显著地提高系统的整体性能，特别是对于像HTML和XML这样相对较小和稀疏的数据。在这个项目中，研究小组计划增强其当前的XML压缩技术，该技术可以使小型Web服务文档的压缩比标准方法提高500%以上，从而在更广泛的非结构化和半结构化Internet和intranet数据类型（包括HTML和电子邮件）上运行。该公司还将研究利用基于新颖压缩方法的这些数据类型中固有的较长距离冗余，以改进其技术现有的XML性能特征。最后，他们将评估普遍压缩对互联网生态系统的技术和经济影响。该技术的广泛影响包括对已知的文本和数据压缩方法的基本科学改进，以及提高对智能压缩技术的理解，以及如何将其应用于常见的Internet和intranet技术堆栈。该技术方法具有独特的能力，能够支持基于压缩形式的内容的Web数据和电子邮件的路由、挖掘和过滤。就信息技术基础设施的规模、成本和性质而言，高性能压缩技术的大量采用对现代商业、学术和科学组织具有显著的经济影响。预计半结构化数据的数量将继续大幅增长，提高数据传输、路由和存储的资源利用率所带来的经济影响也将大幅增长。