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公开(公告)号：US20150149154A1
公开(公告)日：2015-05-28
申请号：US14610498
申请日：2015-01-30
Applicant: SAP SE , intelligent views gmbh
Inventor： Robert Heidasch , Stephan Brand , Archim Heimann , Nico Licht , Michael Neumann , Stefan Scheidl , Steffen Moldaner , Klaus Reichenberger
CPC classification number: G06F17/2785 , G06F17/28 , G06F17/2881
Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.
Abstract translation: 一种基于上下文特定用户组提供术语和句子建议的语义短语建议引擎。 语义网络内的知识领域可以从用户软件应用程序自动导出，并且知识领域内的每个术语包括关于术语的元数据，例如术语类型和重要性指标。 指标可以在特定用户组的上下文中定义，并且涉及该组使用该术语的次数（例如，在文档，电子邮件等中）。语义短语建议引擎还可以包括拼写条件和语法条件，其中 然后可以根据具体针对用户组的条件和重要性指标提供短语建议。
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公开(公告)号：US20150058315A1
公开(公告)日：2015-02-26
申请号：US14536040
申请日：2014-11-07
Applicant: SAP SE , intelligent views gmbh
Inventor： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht , Michael Neumann , Christoph Meinel
CPC classification number: G06F17/2785 , G06F17/30321 , G06F17/3053 , G06F17/30864 , G06N99/005
Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.
Abstract translation: 一种用于提供自学习语义搜索引擎的方法，机器可读存储介质和系统。 可以使用初始配置来建立语义网络。 耦合到语义网络的搜索引擎可以构建索引和语义索引。 可以接收用户对业务数据的请求。 可以通过语义调度器来访问搜索引擎。 基于访问，搜索引擎可以更新索引和语义索引。
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Patent Agency Ranking
公开(公告)号：US09223777B2
公开(公告)日：2015-12-29
申请号：US14536040
申请日：2014-11-07
Applicant: SAP SE , intelligent views gmbh
Inventor： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht , Michael Neumann , Christoph Meinel
CPC classification number: G06F17/2785 , G06F17/30321 , G06F17/3053 , G06F17/30864 , G06N99/005
Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.
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公开(公告)号：US09311296B2
公开(公告)日：2016-04-12
申请号：US14610498
申请日：2015-01-30
Applicant: SAP SE , intelligent views gmbh
Inventor： Robert Heidasch , Stephan Brand , Archim Heimann , Nico Licht , Michael Neumann , Stefan Scheidl , Steffen Moldaner , Klaus Reichenberger
CPC classification number: G06F17/2785 , G06F17/28 , G06F17/2881
Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.
Abstract translation: 一种基于上下文特定用户组提供术语和句子建议的语义短语建议引擎。 语义网络内的知识领域可以从用户软件应用程序自动导出，并且知识领域内的每个术语包括关于术语的元数据，例如术语类型和重要性指标。 指标可以在特定用户组的上下文中定义，并且涉及该组使用该术语的次数（例如，在文档，电子邮件等中）。语义短语建议引擎还可以包括拼写条件和语法条件，其中 然后可以根据具体针对用户组的条件和重要性指标提供短语建议。
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公开(公告)号：US09031886B2
公开(公告)日：2015-05-12
申请号：US13623596
申请日：2012-09-20
Applicant: SAP SE , intelligent views GmbH
Inventor： Robert Heidasch , Stefan Scheidl , Michael Neumann , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner , Thomas Pohl
CPC classification number: G06F17/30864
Abstract: A cascading learning system for semantic search is described including the generation, training and testing of a domain-specific module for a domain-specific search. One or more input elements and output elements are specified for the domain-specific module with reference to a domain that relates these elements together through data sets that include related metadata. The related metadata may include semantic terms that are incorporated into a contextual network applicable to the domain.
Abstract translation: 描述了用于语义搜索的级联学习系统，其包括针对域特定搜索的特定于域的模块的生成，训练和测试。 通过参考通过包括相关元数据的数据集将这些元素相关联的域来指定针对域特定模块的一个或多个输入元素和输出元素。 相关的元数据可以包括并入到适用于域的上下文网络中的语义术语。
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公开(公告)号：US08954360B2
公开(公告)日：2015-02-10
申请号：US13653086
申请日：2012-10-16
Applicant: SAP SE , intelligent views GmbH
Inventor： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Christian Lahmer , Stephan Brand , Nico Licht , Klaus Reichenberger , Steffen Moldaner
IPC: G06F15/18
CPC classification number: G06F17/30731 , G06F17/2785
Abstract: A cascading learning system as a normalized semantic search is described. The cascading learning system has a request analyzer, a request dispatcher and classifier, a search module, a terminology manager, and a cluster manager. The request analyzer receives a request for search terms from a client application. The request analyzer has a normalization manager, a semantic parser, and a context builder. The normalization manager normalizes the search terms and generates a normalized semantic request based on a context. The request dispatcher and classifier classifies and dispatches the normalized semantic request to a corresponding domain-specific module that generates a prediction with a trained probability of an expected output. The terminology manager receives the normalized semantic request from the request dispatcher and classifier, and manages terminology stored in a contextual network.
Abstract translation: 描述了作为归一化语义搜索的级联学习系统。 级联学习系统具有请求分析器，请求分派器和分类器，搜索模块，术语管理器和集群管理器。 请求分析器从客户端应用程序接收到搜索条件的请求。 请求分析器具有归一化管理器，语义解析器和上下文构建器。 归一化管理器对搜索项进行归一化，并基于上下文生成规范化语义请求。 请求分派器和分类器将归一化的语义请求分类并分派到生成具有预期输出的训练概率的预测的相应的域特定模块。 术语管理器从请求分派器和分类器接收归一化语义请求，并管理存储在上下文网络中的术语。
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公开(公告)号：US20160267198A1
公开(公告)日：2016-09-15
申请号：US14644805
申请日：2015-03-11
Applicant: SAP SE
Inventor： Christian Lahmer , Stefan Scheidl , Michael Neumann
IPC: G06F17/30
Abstract: The present disclosure describes methods, systems, and computer program products for importing data to a semantic graph. One computer-implemented method includes collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.
Abstract translation: 本公开描述了用于将数据导入语义图的方法，系统和计算机程序产品。 一种计算机实现的方法包括在客户端从信息源收集数据; 从服务器接收与所述语义图相关联的信息的查询; 以及响应于所述查询，将所收集的数据根据通信协议发送到所述服务器，其中所收集的数据被导入所述语义图。
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