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The DYNAQUEST-Framework for Dynamic and Adaptive Source Selection

机译：动态和自适应源选择的Dynaquest框架

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Information overload is one of the main reasons why efficient use of internet information sources is a mostly cumbersome process. Closely connected to this general observations is the problem of resource discovery: Which are the best information sources to answer my query respecting my preferences in the current execution context (e.g. time of day). Virtual databases try to free users from the burden of distribution and heterogeneity regarding the data access and data quality of information source in the Internet. Queries are formulated against one (or more) virtual views, relevant sources are determined by the system, queried, and finally the results of these sources are combined. A latent problem in open systems like the Internet is caused by their high dynamics: A previously fast answering server can be unreachable or new and better-suited sources may be available. To cope with such problems, intelligent and fault-tolerant mechanisms are needed. DYNAQUEST, a framework for dynamic and adaptive query processing, is our proposal to build robust virtual database systems. This agent-based approach helps locating relevant sources based on user preferences concerning data and quality aspects. While processing a query with these selected sources, errors (e.g. a source failure) are caught and DYNAQUEST tries to recover the query instead of breaking it (e.g. by choosing an alternate source). Our approach always tries to comply with desired information quality demands while optimizing or adapting query processing.
机译：信息过载是为什么有效使用Internet信息源是一个最繁琐的过程的主要原因之一。与此一般观察密切相关的是资源发现问题：哪些是最佳信息源，以回答我的查询尊重我在当前执行上下文中的偏好（例如时的时间）。虚拟数据库尝试从互联网中信息源的数据访问和数据质量的分发和异质性负担。查询针对一个（或多个）虚拟视图配制，相关源由系统确定，查询，并且最终组合这些源的结果。像互联网这样的开放系统中的潜在问题是由他们的高动态引起的：先前的快速应答服务器可以是无法访问的，或者可以使用新的和更适合的来源。为了应对这些问题，需要智能和容错机制。 DynaQuest是一种动态和自适应查询处理的框架，是我们构建强大的虚拟数据库系统的建议。该基于代理的方法有助于根据有关数据和质量方面的用户偏好定位相关来源。在处理具有这些所选源的查询时，捕获错误（例如源失败），并且Dynaquest尝试恢复查询而不是打破它（例如，通过选择备用源）。我们的方法始终尝试遵守所需的信息质量要求，同时优化或调整查询处理。

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