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1. 发明授权

US08996561B2 Using historical information to improve search across heterogeneous indices 有权
标题翻译：使用历史信息来改进异构索引的搜索
公开(公告)号：US08996561B2
公开(公告)日：2015-03-31
申请号：US12535330
申请日：2009-08-04
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30309 , G06F17/30433 , G06F17/30882 , G06F17/30902
摘要： A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.
摘要翻译：公开了用于搜索数据的方法，系统和计算机程序产品。在一个实施例中，本发明提供了一种方法，包括识别包括一组指定实体的查询和搜索范围; 并且对于这些实体中的每一个，估计将通过实体在搜索中识别的文档的数量以回答查询。在该估计的基础上，形成实体的子集。将查询和该实体子集发送到搜索引擎以搜索实体的子集以回答查询。在一个实施例中，估计包括从查询收集统计信息以使用启发式或机器学习技术建立历史高速缓存，其中查询包括关键字和范围，并且历史高速缓存包含实体的最大返回结果数给出执行的查询。

2. 发明授权

US08909663B2 Using historical information to improve search across heterogeneous indices 有权
标题翻译：使用历史信息来改进异构索引的搜索
公开(公告)号：US08909663B2
公开(公告)日：2014-12-09
申请号：US13435978
申请日：2012-03-30
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30309 , G06F17/30433 , G06F17/30882 , G06F17/30902
摘要： A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.
摘要翻译：公开了用于搜索数据的方法，系统和计算机程序产品。在一个实施例中，本发明提供了一种方法，包括识别包括一组指定实体的查询和搜索范围; 并且对于这些实体中的每一个，估计将通过实体在搜索中识别的文档的数量以回答查询。在该估计的基础上，形成实体的子集。将查询和该实体子集发送到搜索引擎以搜索实体的子集以回答查询。在一个实施例中，估计包括从查询收集统计信息以使用启发式或机器学习技术建立历史高速缓存，其中查询包括关键词和范围，并且历史高速缓存包含用于实体的最大返回结果数给出执行的查询。

3. 发明申请

US20120191687A1 USING HISTORICAL INFORMATION TO IMPROVE SEARCH ACROSS HETEROGENEOUS INDICES 有权
标题翻译：使用历史信息改善异质性指标的搜索
公开(公告)号：US20120191687A1
公开(公告)日：2012-07-26
申请号：US13435978
申请日：2012-03-30
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30309 , G06F17/30433 , G06F17/30882 , G06F17/30902
摘要： A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.
摘要翻译：公开了用于搜索数据的方法，系统和计算机程序产品。在一个实施例中，本发明提供了一种方法，包括识别包括一组指定实体的查询和搜索范围; 并且对于这些实体中的每一个，估计将通过实体在搜索中识别的文档的数量以回答查询。在该估计的基础上，形成实体的子集。将查询和该实体子集发送到搜索引擎以搜索实体的子集以回答查询。在一个实施例中，估计包括从查询收集统计信息以使用启发式或机器学习技术建立历史高速缓存，其中查询包括关键词和范围，并且历史高速缓存包含用于实体的最大返回结果数给出执行的查询。

4. 发明申请

US20110035399A1 USING HISTORICAL INFORMATION TO IMPROVE SEARCH ACROSS HETEROGENEOUS INDICES 有权
标题翻译：使用历史信息改善异质性指标的搜索
公开(公告)号：US20110035399A1
公开(公告)日：2011-02-10
申请号：US12535330
申请日：2009-08-04
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30309 , G06F17/30433 , G06F17/30882 , G06F17/30902
摘要： A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.
摘要翻译：公开了用于搜索数据的方法，系统和计算机程序产品。在一个实施例中，本发明提供了一种方法，包括识别包括一组指定实体的查询和搜索范围; 并且对于这些实体中的每一个，估计将通过实体在搜索中识别的文档的数量以回答查询。在该估计的基础上，形成实体的子集。将查询和该实体子集发送到搜索引擎以搜索实体的子集以回答查询。在一个实施例中，估计包括从查询收集统计信息以使用启发式或机器学习技术建立历史高速缓存，其中查询包括关键词和范围，并且历史高速缓存包含用于实体的最大返回结果数给出执行的查询。

5. 发明申请

US20110082859A1 INFORMATION THEORY BASED RESULT MERGING FOR SEARCHING HIERARCHICAL ENTITIES ACROSS HETEROGENEOUS DATA SOURCES 失效
标题翻译：基于异构数据源搜索分层实体的信息理论结果合并
公开(公告)号：US20110082859A1
公开(公告)日：2011-04-07
申请号：US12575210
申请日：2009-10-07
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30451 , G06F17/30598 , G06F17/30867 , G06F17/30941
摘要： A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.
摘要翻译：公开了一种用于合并搜索结果的方法，系统和计算机程序产品。在一个实施例中，该方法包括识别查询，将查询分割成子查询，以及计算每个子查询的信息内容。该方法还包括执行每个子查询以获得多个搜索结果，并且基于为子查询计算的信息内容来组合搜索结果。在一个实施例中，每个子查询的执行包括识别至少一个子查询的大量搜索结果; 并且所述组合包括将所述多个搜索结果分组为多个群集，以及计算每个所述群集的相关性得分。在该实施例中，组合还包括基于针对集群计算的相关性分数以及为子查询计算的信息内容来合并集群。

6. 发明授权

US09251208B2 Information theory based result merging for searching hierarchical entities across heterogeneous data sources 有权
标题翻译：基于信息理论的结果合并，用于跨异构数据源搜索分层实体
公开(公告)号：US09251208B2
公开(公告)日：2016-02-02
申请号：US13462995
申请日：2012-05-03
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30451 , G06F17/30598 , G06F17/30867 , G06F17/30941
摘要： A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.
摘要翻译：公开了一种用于合并搜索结果的方法，系统和计算机程序产品。在一个实施例中，该方法包括识别查询，将查询分割成子查询，以及计算每个子查询的信息内容。该方法还包括执行每个子查询以获得多个搜索结果，并且基于为子查询计算的信息内容来组合搜索结果。在一个实施例中，每个子查询的执行包括识别至少一个子查询的大量搜索结果; 并且所述组合包括将所述多个搜索结果分组为多个群集，以及计算每个所述群集的相关性得分。在该实施例中，组合还包括基于针对集群计算的相关性分数以及为子查询计算的信息内容来合并集群。

7. 发明授权

US08219552B2 Information theory based result merging for searching hierarchical entities across heterogeneous data sources 失效
标题翻译：基于信息理论的结果合并，用于跨异构数据源搜索分层实体
公开(公告)号：US08219552B2
公开(公告)日：2012-07-10
申请号：US12575210
申请日：2009-10-07
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30451 , G06F17/30598 , G06F17/30867 , G06F17/30941
摘要： A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.
摘要翻译：公开了一种用于合并搜索结果的方法，系统和计算机程序产品。在一个实施例中，该方法包括识别查询，将查询分割成子查询，以及计算每个子查询的信息内容。该方法还包括执行每个子查询以获得多个搜索结果，并且基于为子查询计算的信息内容来组合搜索结果。在一个实施例中，每个子查询的执行包括识别至少一个子查询的大量搜索结果; 并且所述组合包括将所述多个搜索结果分组为多个群集，以及计算每个所述群集的相关性得分。在该实施例中，组合还包括基于针对集群计算的相关性分数以及为子查询计算的信息内容来合并集群。

8. 发明申请

US20120221542A1 INFORMATION THEORY BASED RESULT MERGING FOR SEARCHING HIERARCHICAL ENTITIES ACROSS HETEROGENEOUS DATA SOURCES 审中-公开
标题翻译：基于异构数据源搜索分层实体的信息理论结果合并
公开(公告)号：US20120221542A1
公开(公告)日：2012-08-30
申请号：US13462995
申请日：2012-05-03
申请人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
发明人： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Ruchi Mahindru , Nithya Rajamani , Soumitra Sarkar
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30451 , G06F17/30598 , G06F17/30867 , G06F17/30941
摘要： A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.
摘要翻译：公开了一种用于合并搜索结果的方法，系统和计算机程序产品。在一个实施例中，该方法包括识别查询，将查询分割成子查询，以及计算每个子查询的信息内容。该方法还包括执行每个子查询以获得多个搜索结果，并且基于为子查询计算的信息内容来组合搜索结果。在一个实施例中，每个子查询的执行包括识别至少一个子查询的大量搜索结果; 并且所述组合包括将所述多个搜索结果分组为多个群集，以及计算每个所述群集的相关性得分。在该实施例中，组合还包括基于针对集群计算的相关性分数以及为子查询计算的信息内容来合并集群。

9. 发明申请

US20090112841A1 DOCUMENT SEARCHING USING CONTEXTUAL INFORMATION LEVERAGE AND INSIGHTS 审中-公开
标题翻译：使用上下文信息索引和视图的文档搜索
公开(公告)号：US20090112841A1
公开(公告)日：2009-04-30
申请号：US11926698
申请日：2007-10-29
申请人： Murthy V. Devarakonda , Nithya Rajamani , James Rubas , Norbert G. Vogl , Wlodek W. Zadrozny
发明人： Murthy V. Devarakonda , Nithya Rajamani , James Rubas , Norbert G. Vogl , Wlodek W. Zadrozny
IPC分类号： G06F7/10
CPC分类号： G06F16/36
摘要： A method and system are disclosed that enable a user to search a large collection of structured and unstructured documents using semantic concepts that the system provides to them, to search the most relevant business activity first, and then using one of the business activities as the additional context to search for specific document or documents that are most relevant. One aspect of the invention provides a methodology to perform concept-based structured search over document collections to obtain search results as business activities and associated relevant documents using the business activity context. The document collections are obtained by aggregating documents corresponding to a business activity. The instances are extracted from the document collections together with any concept-relationship specific heuristics in that domain. Another aspect of the invention enables the enterprise user to enter concepts and instances that define the search parameters using a structured user interface.
摘要翻译：公开了一种方法和系统，其使得用户能够使用系统提供给它们的语义概念来搜索大量的结构化和非结构化文档，首先搜索最相关的业务活动，然后使用其中一个业务活动作为附加搜索最相关的特定文档或文档的上下文。本发明的一个方面提供一种方法，用于在文档集合上执行基于概念的结构化搜索，以使用业务活动上下文获得搜索结果作为商业活动和相关联的相关文档。通过汇总与业务活动相对应的文件获得文档集合。这些实例是从文档集合中提取的，以及该域中的任何概念关系特定的启发式算法。本发明的另一方面使得企业用户能够使用结构化用户界面输入定义搜索参数的概念和实例。

10. 发明授权

US08943186B2 Method and apparatus for performance and policy analysis in distributed computing systems 有权
标题翻译：分布式计算系统中性能和策略分析的方法和装置
公开(公告)号：US08943186B2
公开(公告)日：2015-01-27
申请号：US13545729
申请日：2012-07-10
申请人： Murthy V. Devarakonda , Nithya Rajamani , Mudhakar Srivatsa
发明人： Murthy V. Devarakonda , Nithya Rajamani , Mudhakar Srivatsa
IPC分类号： G06F15/173 , H04L12/24 , H04L12/861
CPC分类号： H04L41/06 , H04L41/14 , H04L41/5003 , H04L49/90
摘要： One embodiment of the present method and apparatus for performance and policy analysis in distributed computing systems includes representing a distributed computing system as a state transition model. A queuing network is then superimposed upon the state transition model, and the effects of one or more policies on the distributed computing system performance are identified in accordance with a solution to the queuing network.
摘要翻译：用于分布式计算系统中的性能和策略分析的本方法和装置的一个实施例包括将分布式计算系统表示为状态转换模型。然后将排队网络叠加在状态转换模型上，并且根据排队网络的解决方案来识别一个或多个策略对分布式计算系统性能的影响。

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