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The Anatomy of a Multi-domain Search Infrastructure

机译:多域搜索基础架构的剖析

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Current search engines do not support queries that require a complex combination of information. Problems such as "Which theatre offers an at least-three-stars action movie in London close to a good Italian restaurant" can only be solved by asking multiple queries, possibly to different search engines, and then manually combining results, thereby performing "data integration in the brain." While searching the Web is the preferred method for accessing information in everyday's practice, users expect that search systems will soon be capable of mastering complex queries. However, combining information requires a drastic change of perspective: a new generation of search computing systems is needed, capable of going beyond the capabilities of current search engines. In this paper we show how search computing should open to modular composition, as many other kinds of software computations. We first motivate our work by describing our vision, and then describe how the challenges of multi-domain search are addressed by a prototype framework, whose internal "anatomy" is disclosed.
机译:当前的搜索引擎不支持需要复杂信息组合的查询。诸如“哪个剧院在伦敦附近的一家意大利餐馆附近提供至少三星级的动作电影”之类的问题只能通过向多个查询(可能是向不同的搜索引擎询问),然后手动组合结果,从而执行“数据”来解决融入大脑。”虽然在日常实践中,搜索Web是访问信息的首选方法,但用户希望搜索系统很快就能掌握复杂的查询。但是,将信息组合起来需要大刀阔斧的改变:需要新一代的搜索计算系统,它们必须超越当前搜索引擎的能力。在本文中,我们展示了搜索计算应如何像许多其他类型的软件计算一样向模块化组合开放。我们首先通过描述我们的愿景来激发我们的工作,然后描述一个原型框架如何解决多域搜索的挑战,该原型框架公开了其内部“解剖结构”。

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