Managing Semi-structured Data

管理半结构化数据

基本信息

批准号：
9811947
负责人：
Jennifer Widom
金额：
$ 23.54万
依托单位：
Stanford University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1998
资助国家：
美国
起止时间：
1998-09-15 至 2001-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9811947&HistoricalAwards=false
关键词：
Managing Semi structured Data

项目摘要

The goal of this research project is to make advances in the management of "semistructured" data: data that may be irregular or incomplete, or whose structure may change rapidly or unpredictably. Semistructured data is prevalent today, particularly through the World-Wide-Web and when integrating information from heterogeneous sources. The project is developing a complete database management system (DBMS) for semistructured data, which enables such data to be stored, queried, and updated easily and efficiently. The system, called "Lore", includes all capabilities of a traditional DBMS, with particular research emphasis on the new challenges that semistructured data brings to the areas of object storage and clustering, indexing, cost-based query optimization, trigger processing, and user interaction models. The project also considers benchmarking and scalability issues for semistructured data, integrating externally obtained data with Lore data during query processing, and smoothly combining structured data, semistructured data, and Information Retrieval style text search. Because the data model used by Lore is nearly identical to XML -- an emerging standard for data representation on the World-Wide Web -- Lore is well-positioned as a DBMS for storing and querying Web data more effectively than other research or commercial system available today. Results from the project will be disseminated as research papers and as a freely-available prototype software system. http://www-db.stanford.edu/lore

该研究项目的目的是在管理“半结构化”数据的管理方面取得进步：可能不规则或不完整的数据，或者其结构可能会迅速或不可预测的变化。半结构化的数据如今很普遍，尤其是通过全球范围内以及整合来自异质来源的信息时。该项目正在为半结构化数据开发一个完整的数据库管理系统（DBMS），该系统可以轻松，有效地存储，查询和更新此类数据。该系统称为“传说”，包括传统DBM的所有功能，特别研究了半结构化数据为对象存储和聚类，索引，基于成本的查询优化，触发处理，触发处理和用户交互模型带来的新挑战。该项目还考虑了半结构化数据的基准测试和可伸缩性问题，在查询处理过程中将外部获得的数据与传说数据集成在一起，并顺利组合结构化数据，半结构化数据以及信息检索样式的文本搜索。由于LORE使用的数据模型与XML几乎相同 - XML是一种在世界范围内的数据表示的新兴标准，因此与当今可用的其他可用的其他研究或商业系统相比，Lore作为存储和查询Web数据的DBM的位置良好。该项目的结果将被传播为研究论文，并作为一个自由使用的原型软件系统。 http://www-db.stanford.edu/lore