Flexible and Efficient Text Storage, Management, and Retrieval

依赖文本的应用程序必须建立在坚实的数据组织基础之上，类似于传统数据库系统的基础。因此，研究计划的中心长期目标是通过将可靠的数据库原则应用于这一信息领域来支持文档存储和管理。我们面临的挑战是如何发现文本的复杂性，其复杂的结构和多样性的表达，可以有效地和有效地访问和管理。在短期内，这一目标将通过改进搜索引擎的设计和实现来实现。研究计划将包括三个相关的调查。我将探讨通用搜索引擎的问题，包括参考文本的特定方面，其中嵌套结构是定位数据的核心。例如，我将研究如何最好地应用数据库视图机制来描述、设计和实现提供高效搜索的索引，包括对短语查询的支持。我还将研究为验光研究人员提供访问电子医疗记录的具体方面，其中自由文本字段包含许多拼写错误，并且必须确保患者隐私。在第三篇文章中，我将专注于数学信息检索的具体方面，其中符号的相对定位至少与使用的特定符号一样重要。现有解决方案的不足导致改进算法的设计，然后我分析，实现和评估。标准基准为比较评估提供了基础，但是通常必须开发额外的测试集合，以从未探索的角度检查问题的特定方面。研究生将参与这一研究的各个方面，从而为HQP在这一领域做出贡献做好充分准备。***文件在记录和保存信息方面的中心地位表明，这项研究对加拿大的经济增长仍然是及时和至关重要的。众所周知，信息检索和数据库管理的整合对加拿大商业很重要，对促进加拿大文化也同样重要。更具体地说，对文本搜索的依赖已经成为一种普遍的需求，搜索引擎在收集互联网范围内的信息、从一个或多个企业或从个人数据收集中收集信息方面发挥了关键作用。此外，其他文本应用程序在整个企业和政府中都可以找到。出版商、数据提供者（例如，通过万维网）和依赖任何形式的文本主导的知识库来开展其内部和外部业务的组织将受益于本研究和理论产生的特定工具，这将为设计他们的文本管理系统提供框架

Applications relying on text must be built upon solid foundations of data organization similar to those that underlie conventional database systems. Thus the central long-term objective of the research program is to support document storage and management by applying sound database principles to this domain of information. The challenge is to discover how the complexity of text, with its intricate structure and diversity of expression, can be efficiently and effectively accessed and managed. In the short term, this objective will be addressed through the design and implementation of improved search engines.***The research program will include three related investigations. I will explore problems of general-purpose search engines, including aspects specific to reference texts, where nested structure is central to locating data. For example, I will investigate how the mechanism of database views can be best applied to describe, design, and implement an index that provides efficient search, including support for phrasal queries. I will also examine aspects specific to providing optometry researchers with access to Electronic Medical Records, where free-text fields include many spelling errors and where ensuring patient privacy is mandatory. In the third thrust, I will concentrate on aspects specific to mathematics information retrieval, where the relative positioning of symbols is at least as important as the particular symbols used. The inadequacy of existing solutions leads to the design of improved algorithms, which I then analyze, implement, and evaluate. Standard benchmarks provide the basis for comparative evaluations, but often additional test collections must be developed to examine specific aspects of the problems from unexplored perspectives. Graduate students will participate in all aspects of this research, resulting in HQP well-prepared to contribute to this area. ***The centrality of documents in recording and preserving information suggests that this research remains timely and crucial to economic growth in Canada. The integration of information retrieval and database management is well-recognized as being important to Canadian business and could be equally important in promoting Canadian culture. More specifically, the reliance on text search has become a universal need, with search engines providing critical roles in gathering information internet-wide, from across one or more enterprises, or from one's own personal data collections. In addition, other text applications are found throughout business and government. Publishers, data providers (e.g., via the World Wide Web), and organizations that rely on any form of text-dominated knowledge base for conducting their internal and external business will benefit from specific tools that arise from this research as well as from the theory, which will provide a framework for designing their text management systems.**