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公开(公告)号:US08983989B2
公开(公告)日:2015-03-17
申请号:US12700985
申请日:2010-02-05
申请人: Munirathnam Srikanth , Phani Vaddadi , Tarek Najm
发明人: Munirathnam Srikanth , Phani Vaddadi , Tarek Najm
CPC分类号: G06F17/3066 , G06F17/30731 , G06F17/30864
摘要: Systems, methods, and computer-storage media for generating contextual queries are provided. The system includes a search engine to receive user queries and contexts, a query understanding component to generate a semantic representation of the query, and a data source command generator to transform the semantic representation into commands for multiple data sources. The data source command generator is connected to the query understanding component. The data source command generator selects data source commands based on lexical information associated with each data source.
摘要翻译: 提供了用于生成上下文查询的系统,方法和计算机存储介质。 该系统包括用于接收用户查询和上下文的搜索引擎,用于生成查询的语义表示的查询理解组件,以及用于将语义表示转换为多个数据源的命令的数据源命令生成器。 数据源命令生成器连接到查询理解组件。 数据源命令生成器根据与每个数据源相关联的词汇信息来选择数据源命令。
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公开(公告)号:US08903794B2
公开(公告)日:2014-12-02
申请号:US12700980
申请日:2010-02-05
申请人: Viswanath Vadlamani , Munirathnam Srikanth , Phani Vaddadi , Abhinai Srivastava , Tarek Najm , Rajeev Prasad , Arungunram Chandrasekaran Surendran
发明人: Viswanath Vadlamani , Munirathnam Srikanth , Phani Vaddadi , Abhinai Srivastava , Tarek Najm , Rajeev Prasad , Arungunram Chandrasekaran Surendran
CPC分类号: G06F17/30864 , G06F17/30386 , G06F17/30672 , G06F17/30675 , G06F17/30867 , G06F17/30946 , H04L41/22
摘要: Systems, methods, and computer-storage media for generating lateral concepts are provided. The system includes a search engine to receive user queries, a storage to store content and its associated categories, and a lateral concept generator. The lateral concept generator is connected to both the search engine and storage. The lateral concept generator selects lateral concepts from categories associated with the content based on similarity scores for the stored content.
摘要翻译: 提供了用于产生横向概念的系统,方法和计算机存储介质。 该系统包括用于接收用户查询的搜索引擎,用于存储内容及其关联类别的存储器以及侧向概念生成器。 侧向概念生成器连接到搜索引擎和存储。 横向概念生成器基于存储的内容的相似性得分来选择与内容相关联的类别的侧向概念。
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公开(公告)号:US20130117204A1
公开(公告)日:2013-05-09
申请号:US13291126
申请日:2011-11-08
申请人: Viswanath Vadlamani , Arungunram Surendran , Prasanth Pulavarthi , Phani Vaddadi , Munirathnam Srikanth , Tarek Najm
发明人: Viswanath Vadlamani , Arungunram Surendran , Prasanth Pulavarthi , Phani Vaddadi , Munirathnam Srikanth , Tarek Najm
CPC分类号: G06N5/022 , G06N5/04 , G06N99/005
摘要: A procedural inference system is described herein that infers procedural knowledge from various data sources to help a user complete one or more tasks for which the data sources provide information. The system understands users' queries, identifies a task at hand, provides recommendations on the steps to take and the agents to use based on a knowledge base of tasks and agents, and provides the fabric to determine which different agents can work together to help the user accomplish a task. Tasks can be started on one device and completed on another seamlessly. Users are able to finish complex, multi-step tasks efficiently, without trial and error or data reentry. Thus, the procedural inference system provides a generalized framework that helps users to complete tasks using already available data and does not ask each data provider to invest in infrastructure to build dedicated task information systems.
摘要翻译: 本文描述了一种程序性推理系统,其推导来自各种数据源的程序性知识,以帮助用户完成数据源为其提供信息的一个或多个任务。 系统了解用户的查询,识别手头的任务,根据任务和代理的知识库提供有关采取的步骤和代理使用的建议,并提供结构以确定哪些不同的代理可以协同工作 用户完成任务。 任务可以在一个设备上启动,另一个无缝完成。 用户能够有效地完成复杂的多步骤任务,无需进行试错和数据重入。 因此,程序推理系统提供了一个通用框架,可帮助用户使用已有的数据完成任务,并且不要求每个数据提供商投资于基础架构来构建专用的任务信息系统。
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