公开(公告)号：US07526425B2

公开(公告)日：2009-04-28

申请号：US11012089

申请日：2004-12-13

Applicant: Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

Inventor： Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

IPC: G06F17/27 ,  G06F17/30

CPC classification number: G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

Abstract: 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. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

Abstract translation: 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字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。 在一个实施例中，SQE包括查询处理器，数据集预处理器，关键字搜索引擎，数据集索引器，增强自然语言解析器（“ENLP”），数据集存储库，并且在一些实施例中包括用户 接口或应用程序编程接口。

公开(公告)号：US20050267871A1

公开(公告)日：2005-12-01

申请号：US11012089

申请日：2004-12-13

Applicant: Giovanni Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep Dhillon ,  Lubos Pochman ,  Matthew Brown

Inventor： Giovanni Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep Dhillon ,  Lubos Pochman ,  Matthew Brown

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

Abstract: 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. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

Abstract translation: 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字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。 在一个实施例中，SQE包括查询处理器，数据集预处理器，关键字搜索引擎，数据集索引器，增强自然语言解析器（“ENLP”），数据集存储库，并且在一些实施例中包括用户 接口或应用程序编程接口。

公开(公告)号：US08594996B2

公开(公告)日：2013-11-26

申请号：US12288158

申请日：2008-10-15

Applicant: Jisheng Liang ,  Krzysztof Koperski ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Satish Bhatti

Inventor： Jisheng Liang ,  Krzysztof Koperski ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Satish Bhatti

IPC: G06F17/27

CPC classification number: G06F17/21 ,  G06F17/278

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

公开(公告)号：US20090271179A1

公开(公告)日：2009-10-29

申请号：US12401421

申请日：2009-03-10

Applicant: Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

Inventor： Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

IPC: G06F17/27 ,  G06F7/00

CPC classification number: G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

Abstract: 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. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

公开(公告)号：US20090182738A1

公开(公告)日：2009-07-16

申请号：US12401386

申请日：2009-03-10

Applicant: Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

Inventor： Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

IPC: G06F7/10 ,  G06F17/30

CPC classification number: G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

Abstract: 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. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

Abstract translation: 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字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。 在一个实施例中，SQE包括查询处理器，数据集预处理器，关键字搜索引擎，数据集索引器，增强自然语言解析器（“ENLP”），数据集存储库，并且在一些实施例中包括用户 接口或应用程序编程接口。

公开(公告)号：US20090144609A1

公开(公告)日：2009-06-04

申请号：US12288158

申请日：2008-10-15

Applicant: Jisheng Liang ,  Krzysztof Koperski ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Satish Bhatti

Inventor： Jisheng Liang ,  Krzysztof Koperski ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Satish Bhatti

IPC: G06F7/06 ,  G06F17/30 ,  G06F17/00 ,  G06F3/048

CPC classification number: G06F17/21 ,  G06F17/278

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

Abstract translation: 提供了使用自然语言处理技术进行实体识别和消歧的方法和系统。 示例性实施例提供了一种实体识别和消歧系统（ERDS）和过程，其基于文本段的输入，使用自然语言处理技术自动确定文本正在引用哪些实体以及从上下文数据中收集的信息的分析 周围的文字。 在至少一些实施例中，可以用于帮助识别和/或消歧过程的补充或相关信息可以从诸如本体知识库的知识库中检索。 在一个实施例中，ERDS包括语言分析引擎，知识分析引擎和消歧引擎，其协作以从知识库识别候选实体，并且使用以下方式确定哪个候选最符合文本段中的一个或多个检测到的实体 上下文信息。

公开(公告)号：US20090019020A1

公开(公告)日：2009-01-15

申请号：US12049184

申请日：2008-03-14

Applicant: Navdeep S. Dhillon ,  Jonathan D. Reichhold ,  Carsten Tusk

Inventor： Navdeep S. Dhillon ,  Jonathan D. Reichhold ,  Carsten Tusk

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30398 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/3061

Abstract: Methods, systems, and techniques for creating, managing, and using query templates to facilitate the execution of relationship queries are provided. Example embodiments provide a Query Template System “QTS”, which enables users, a system, program code, or other people or code to define search tips (i.e., predefined searches) through the generation of query templates that can be used by other users or code, to perform relationship searches using IQL. In one embodiment, the QTS includes a QT editor, a QT dispatcher, a QT creation and index management system, and one or more QT data repositories and indexes. These components cooperate to create and maintain query templates and to search for and retrieve matching query templates. 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.

Abstract translation: 提供了用于创建，管理和使用查询模板以促进关系查询执行的方法，系统和技术。 示例性实施例提供了一种查询模板系统“QTS”，其使用户，系统，程序代码或其他人或代码能够通过生成可由其他用户使用的查询模板来定义搜索提示（即，预定义的搜索） 代码，使用IQL执行关系搜索。 在一个实施例中，QTS包括QT编辑器，QT调度器，QT创建和索引管理系统以及一个或多个QT数据存储库和索引。 这些组件合作创建和维护查询模板，并搜索和检索匹配的查询模板。 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。

公开(公告)号：US08131540B2

公开(公告)日：2012-03-06

申请号：US12401421

申请日：2009-03-10

Applicant: Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

Inventor： Giovanni B. Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep S. Dhillon ,  Lubos Pochman ,  Matthew E. Brown

IPC: G06F17/27 ,  G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

Abstract: 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. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

Abstract translation: 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字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。 在一个实施例中，SQE包括查询处理器，数据集预处理器，关键字搜索引擎，数据集索引器，增强自然语言解析器（“ENLP”），数据集存储库，并且在一些实施例中包括用户 接口或应用程序编程接口。

公开(公告)号：US08954469B2

公开(公告)日：2015-02-10

申请号：US12049184

申请日：2008-03-14

Applicant: Navdeep S. Dhillon ,  Jonathan D. Reichhold ,  Carsten Tusk

Inventor： Navdeep S. Dhillon ,  Jonathan D. Reichhold ,  Carsten Tusk

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30398 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/3061

Abstract: Methods, systems, and techniques for creating, managing, and using query templates to facilitate the execution of relationship queries are provided. Example embodiments provide a Query Template System “QTS”, which enables users, a system, program code, or other people or code to define search tips (i.e., predefined searches) through the generation of query templates that can be used by other users or code, to perform relationship searches using IQL. In one embodiment, the QTS includes a QT editor, a QT dispatcher, a QT creation and index management system, and one or more QT data repositories and indexes. These components cooperate to create and maintain query templates and to search for and retrieve matching query templates.

Abstract translation: 提供了用于创建，管理和使用查询模板以促进关系查询执行的方法，系统和技术。 示例性实施例提供了一种查询模板系统“QTS”，其使用户，系统，程序代码或其他人或代码能够通过生成可由其他用户使用的查询模板来定义搜索提示（即，预定义的搜索） 代码，使用IQL执行关系搜索。 在一个实施例中，QTS包括QT编辑器，QT调度器，QT创建和索引管理系统以及一个或多个QT数据存储库和索引。 这些组件合作创建和维护查询模板，并搜索和检索匹配的查询模板。

公开(公告)号：US08856096B2

公开(公告)日：2014-10-07

申请号：US11601612

申请日：2006-11-16

Applicant: Giovanni B. Marchisio ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Matthew E. Brown

Inventor： Giovanni B. Marchisio ,  Navdeep S. Dhillon ,  Carsten Tusk ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Matthew E. Brown

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/30864 ,  G06F17/30011 ,  G06F17/30684 ,  G06F17/30731

Abstract: 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.

Abstract translation: 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字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。