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Search Computing: Multi-domain Search on Ranked Data

机译:搜索计算:对排名数据进行多域搜索

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We demonstrate the Search Computing framework for multi-domain queries upon ranked data collected from Web sources. Search Computing answers to queries like "Find a good Jazz concert close to a specified location, a good restaurant and a hotel at walking distance" and fills the gap between generic and domain-specific search engines, by proposing new methods, techniques, interfaces, and tools for building search-based applications spanning multiple data services. The main enabling technology is an execution engine supporting methods for rank-join execution upon ranked data sources, abstracted and wrapped by means of a unifying service model. The demo walks through the interface for formulating multi-domain queries and follows the steps of the query engine that builds the result, with the help of run-time monitors that clearly explain the system's behavior. Once results are extracted, the demonstration shows several approaches for visualizing results and exploring the information space.
机译:我们演示了根据从Web来源收集的排名数据进行多域查询的搜索计算框架。 Search Computing会回答“在指定的地点附近找到好的爵士音乐会,步行即可到达的好的餐馆和酒店”之类的查询,并通过提出新的方法,技术,界面,以及用于构建跨多个数据服务的基于搜索的应用程序的工具。主要的使能技术是执行引擎支持的方法,该方法用于对通过统一服务模型进行抽象和包装的排名数据源进行排名联接执行。该演示遍历了用于制定多域查询的界面,并在运行时监视器的帮助下清晰地解释了系统的行为,该接口遵循了构建结果的查询引擎的步骤。提取结果后,演示将展示几种可视化结果和探索信息空间的方法。

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