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公开(公告)号：US20170228396A1
公开(公告)日：2017-08-10
申请号：US15495793
申请日：2017-04-24
Applicant: SAP SE
Inventor： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
IPC: G06F17/30
Abstract: Data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes series time-stamped frames for each of the sensors and at least one of the sources has two or more associated sensors. The received data can be sorted and processed, for each sensor on a sensor-by-sensor basis, using a sliding window. The sorted and processed data can then be correlated and written into a data storage application. Related apparatus, systems, techniques and articles are also described.
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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：US10515102B2
公开(公告)日：2019-12-24
申请号：US15495793
申请日：2017-04-24
Applicant: SAP SE
Inventor： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
Abstract: Data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes series time-stamped frames for each of the sensors and at least one of the sources has two or more associated sensors. The received data can be sorted and processed, for each sensor on a sensor-by-sensor basis, using a sliding window. The sorted and processed data can then be correlated and written into a data storage application. Related apparatus, systems, techniques and articles are also described.
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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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