Processing Queries over Conceptual Integration Schemas

处理概念集成模式的查询

• 批准号: 261548-2012
• 负责人: Kiringa, Iluju
• 金额: $ 1.24万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=571076
• 关键词: Processing; Queries; over; Conceptual; Integration

Business intelligence (BI) is a software industry term that denotes the use of information within organizations to allow deciders, usually executives, to make informed decisions, and to effectively run operations using known data. As a Computer Science research field, it encompasses several subfields of Computer Science, among which data integration (aka data warehousing) plays a pivotal role. Ideally, integration would happen almost automatically. One important aim of BI is to be end-user oriented: decision makers and business users need only to focus on modelling their data needs in (usually high-level ) business terms that they fully understand. A business user would specify what information is needed and in what form, and the integration system would satisfy the request by producing integrated data as automatically as possible. To achieve this, we must raise the level of abstraction significantly to accommodate business users. The latter would use conceptual-level schemas to model their integration needs. Once those schemas are in place, business users can pose queries expressed in a conceptual query language against those conceptual schemas. Building on previous work on conceptual integration schema modelling, the objectives of the present proposal are as follows: (1) address the problem of answering business queries over conceptual integration schemas; (2) identify and study tractable classes of queries that are of practical importance; (3) develop and implement efficient algorithms for some of those tractable classes.

商业智能(BI)是软件行业的一个术语，表示在组织内使用信息，使决策者(通常是高管)能够做出明智的决策，并使用已知数据有效地运行操作。作为计算机科学的一个研究领域，它涵盖了计算机科学的几个子领域，其中数据集成(又名数据仓库)起着举足轻重的作用。理想情况下，整合将几乎自动发生。BI的一个重要目标是面向最终用户：决策者和业务用户只需专注于以他们完全理解的业务术语(通常是高级业务术语)建模他们的数据需求。业务用户将指定需要什么信息以及以什么形式，集成系统将通过尽可能自动地生成集成数据来满足该请求。要实现这一点，我们必须显著提高抽象级别以适应业务用户。后者将使用概念级架构对其集成需求进行建模。一旦这些模式就位，业务用户就可以针对这些概念模式提出用概念查询语言表示的查询。在以往概念集成模式建模工作的基础上，本提案的目标如下：(1)解决通过概念集成模式回答业务查询的问题；(2)识别和研究具有实际重要性的易处理查询类；(3)为其中一些易处理类开发和实施有效的算法。