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    • 2. 发明申请
    • SERVICE-ORIENTED ARCHITECTURE FOR DEPLOYING, SHARING, AND USING ANALYTICS
    • 用于分配,共享和使用分析的以服务为导向的架构
    • WO2007117474A2
    • 2007-10-18
    • PCT/US2007/008325
    • 2007-04-03
    • INSIGHTFUL CORPORATIONGAUTHIER, Francois
    • GAUTHIER, Francois
    • G06F19/00G06F7/38
    • G06Q40/02G06Q10/10
    • Methods, systems, and techniques for deploying, publishing, sharing, and using analytics are provided. Example embodiments provide a Analytic Server Computing System (an "ASCS") which provides an SOA framework, for enabling users to develop and deploy analytics to their customers or other human or electronic clients by means of a web service/web server. Once published, such analytics can be consumed, for example, by a reporting interface for running analytics without having to understand the workings of the analytics. In one embodiment, the ASCS includes an analytic web service, which is used by consumers, typically through ASCS client code, to specify or discover analytics and to run them on consumer designated data and with designated parameter values. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    • 提供了部署,发布,共享和使用分析的方法,系统和技术。 示例性实施例提供了一种提供SOA框架的分析服务器计算系统(“ASCS”),用于使用户能够通过Web服务/ Web服务器向客户或其他人或电子客户端开发和部署分析。 一旦发布,这样的分析可以被用于例如用于运行分析的报告界面,而不必理解分析的工作。 在一个实施例中,ASCS包括分析Web服务,消费者通常通过ASCS客户端代码使用分析Web服务来指定或发现分析,并且在消费者指定的数据和指定的参数值上运行它们。 提供本摘要以符合要求摘要的规则,并提交其意图是不会用于解释或限制权利要求书的范围或含义。
    • 4. 发明申请
    • EXTENDING KEYWORD SEARCHING TO SYNTACTICALLY AND SEMANTICALLY ANNOTATED DATA
    • 扩展关键字搜索到统计和语义数据
    • WO2007059287A1
    • 2007-05-24
    • PCT/US2006/044516
    • 2006-11-16
    • INSIGHTFUL CORPORATIONMARCHISIO, Giovanni, B.
    • MARCHISIO, Giovanni, B.
    • G06F17/30
    • G06F17/30864G06F17/30011G06F17/30684G06F17/30731
    • Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine ("SQE") that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    • 提供了将关键字搜索技术扩展到语法和语义注释数据的方法和系统。 示例性实施例提供了一种语法查询引擎(“SQE”),其用文档术语解析,索引和存储数据集作为增强文档索引,以及与术语和本体语义信息以及其他语义信息有关的语法角色的信息。 在一个实施例中,增强的文档索引是术语子句索引的形式,其在子句级别对术语和句法和语义注释进行索引。 增强的文档索引允许使用传统的关键词搜索引擎来处理关系查询以及处理标准的文档级关键词搜索。 提供本摘要以符合要求摘要的规则,并提交其意图是不会用于解释或限制权利要求的范围或含义。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR ENHANCED DATA SEARCHING
    • 用于增强数据搜索的方法和系统
    • WO2004114163A2
    • 2004-12-29
    • PCT/US2004/004099
    • 2004-02-12
    • INSIGHTFUL CORPORATIONMARCHISIO, Giovanni, B.KOPERSKI, KrzysztofLIANG, JishengMURUA, AlejandroNGUYEN, ThienTUSK, CarstenDHILLON, Navdeep, S.POCHMAN, Lubos
    • MARCHISIO, Giovanni, B.KOPERSKI, KrzysztofLIANG, JishengMURUA, AlejandroNGUYEN, ThienTUSK, CarstenDHILLON, Navdeep, S.POCHMAN, Lubos
    • G06F17/30
    • G06F17/271G06F17/279G06F17/30616G06F17/30684Y10S707/99933Y10S707/99943
    • Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results and for indexing and searching data sets using entity tags alone or in combination therewith are provided. Example embodiments provide a Syntactic Query Engine ("SQE") that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser ("ENLP"), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set according to a variety of levels of parsing and determines as appropriate the entity tags and syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository. Upon subsequently receiving a query, the SQE parses the query also using a variety of parsing levels and searches the indexed stored data set to locate data that contains similar terms used in similar grammatical roles and/or with similar entity tag types as indicated by the query. In this manner, the SQE is able to achieve more contextually accurate search results more frequently than using traditional search engines.
    • 提供了用于语法索引和搜索数据集以实现更精确的搜索结果以及使用单独或与其组合的实体标签索引和搜索数据集的方法和系统。 示例性实施例提供了解析,索引和存储数据集的语法查询引擎(“SQE”),并且处理随后针对数据集提交的自然语言查询。 SQE包括查询预处理器,数据集预处理器,查询生成器,数据集索引器,增强自然语言解析器(“ENLP”),数据集存储库以及在一些实施例中的用户界面。 在对数据集进行预处理之后,SQE根据各种解析级别解析数据集,并酌情确定每个术语的实体标签和语法和语法角色,以生成数据集中每个对象的增强数据表示。 SQE索引并将这些增强型数据表示存储在数据集存储库中。 在随后接收到查询时,SQE还使用各种解析级别来解析查询,并且搜索索引的存储的数据集以定位包含类似语法角色中使用的类似术语的数据和/或与查询所指示的类似实体标签类型 。 以这种方式,SQE能够比使用传统的搜索引擎更频繁地获得更加内容相对准确的搜索结果。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR ENHANCED DATA SEARCHING
    • 用于增强数据搜索的方法和系统
    • WO2003017143A2
    • 2003-02-27
    • PCT/US2002/025756
    • 2002-08-14
    • INSIGHTFUL CORPORATIONMARCHISIO, Giovanni, B.KOPERSKI, KrzysztofLIANG, JishengMURUA, AlejandroNGUYEN, Thien
    • MARCHISIO, Giovanni, B.KOPERSKI, KrzysztofLIANG, JishengMURUA, AlejandroNGUYEN, Thien
    • G06F17/30
    • G06F17/30616G06F17/271G06F17/279G06F17/30684Y10S707/99933
    • Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results are provided. Example embodiments provide a Syntactic Query Engine ("SQE") that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser ("ENLP"), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set and determines the syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository. Upon subsequently receiving a query, the SQE parses the query similarly and searches the indexed stored data set to locate data that contains similar terms used in similar grammatical roles. In this manner, the SQE is able to achieve more contextually accurate search results more frequently than using traditional search engines.
    • 提供了用于语法索引和搜索数据集以实现更精确的搜索结果的方法和系统。 示例实施例提供句法查询引擎(“SQE”),其解析,索引和存储数据集,并且处理随后针对数据集提交的自然语言查询。 SQE包括查询预处理器,数据集预处理器,查询生成器,数据集索引器,增强自然语言解析器(“ENLP”),数据集储存库以及在一些实施例中的用户界面。 预处理数据集后,SQE解析数据集并确定每个术语的语法和语法角色,以便为数据集中的每个对象生成增强的数据表示。 SQE将这些增强的数据表示索引并存储在数据集存储库中。 在随后接收到查询时,SQE类似地解析查询并且搜索索引存储的数据集以定位包含类似语法角色中使用的类似术语的数据。 以这种方式,SQE能够比传统搜索引擎更频繁地获得更多的上下文准确的搜索结果。