公开(公告)号：US20140297574A1

公开(公告)日：2014-10-02

申请号：US14303435

申请日：2014-06-12

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Matthias Kaiser ,  Christian Lahmer ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner ,  Thomas Pohl

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Matthias Kaiser ,  Christian Lahmer ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner ,  Thomas Pohl

IPC: G06N3/08 ,  G06F17/30

CPC classification number: G06F16/245 ,  G06F16/36 ,  G06F16/367 ,  G06N3/0427 ,  G06N3/08

Abstract: A method and apparatus for detection of relationships between objects in a meta-model semantic network is described. Semantic objects and semantic relations of a meta-model of business objects are generated from a meta-model semantic network. The semantic relations are based on connections between the semantic objects. A probability model of terminology usage in the semantic objects and the semantic relations is generated. A neural network is formed based on usage of the semantic objects, the semantic relations, and the probability model. The neural network is integrated with the semantic objects, the semantic relations, and the probability model to generate a contextual network. The generated probability model is integrated with semantic objects and neural networks for form parallel networks.

Abstract translation: 描述了用于检测元模型语义网络中的对象之间的关系的方法和装置。 业务对象的元模型的语义对象和语义关系由元模型语义网络生成。 语义关系基于语义对象之间的连接。 生成语义对象中的术语使用概率模型和语义关系。 基于语义对象的使用，语义关系和概率模型形成神经网络。 神经网络与语义对象，语义关系和概率模型集成以生成语境网络。 所产生的概率模型与形式并行网络的语义对象和神经网络集成。

公开(公告)号：US5351563A

公开(公告)日：1994-10-04

申请号：US044605

申请日：1993-04-09

Applicant: Hellfried Karpf ,  M. Jean-Pierre Leiner ,  Anton Mostl ,  Klaus Reichenberger ,  Bernhard Schaffar ,  Werner E. Ziegler

Inventor： Hellfried Karpf ,  M. Jean-Pierre Leiner ,  Anton Mostl ,  Klaus Reichenberger ,  Bernhard Schaffar ,  Werner E. Ziegler

IPC: G01N21/11 ,  G01N1/00 ,  G01N21/05 ,  G01N21/64 ,  G01N21/77 ,  G01N27/07 ,  G01N27/28 ,  G01N27/416 ,  G01N33/00 ,  G01N33/49 ,  G01N1/10 ,  G01N1/22

CPC classification number: G01N35/1097 ,  G01N21/05 ,  G01N33/0006 ,  G01N33/0026 ,  G01N2021/0346 ,  G01N2201/128

Abstract: Method for analyzing gaseous or liquid samples, utilizing a one-way measuring element with a measuring channel containing at least one optical or electrochemical sensor and being provided with sealing elements on either end. In order to obtain accurate measurements in a simple manner the proposal is put forward that for measuring purposes a storage medium in the measuring channel be replaced by a separating medium which should then be replaced by the sample. Sample and storage medium will remain in the measuring element when it is discarded.

Abstract translation: 用于分析气体或液体样品的方法，利用具有包含至少一个光学或电化学传感器的测量通道的单向测量元件，并且在任一端上设置有密封元件。 为了以简单的方式获得准确的测量结果，提出了用于测量目的的测量通道中的存储介质被分离介质所替代，该分离介质应由样品代替。 当被丢弃时，样品和存储介质将保留在测量元件中。

公开(公告)号：US09256595B2

公开(公告)日：2016-02-09

申请号：US13284695

申请日：2011-10-28

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

IPC: G06F17/27 ,  G06F17/30 ,  G06N5/02

CPC classification number: G06F17/2795 ,  G06F17/2785 ,  G06F17/30734 ,  G06N5/02

Abstract: In example embodiments, a technique is provided to determine the similarity between two terms. For example, example embodiments may store a meta-model semantic network that includes a first and second term. Further, both the first and second terms are respectively associated with model and meta-model information. A request to calculate a term similarity value is received. A term similarity value expresses a correlation between the first term and the second term. The term similarity value is then calculated based on a comparison of the model and the meta-model information associated with the first and second terms.

Abstract translation: 在示例实施例中，提供了一种确定两个术语之间的相似性的技术。 例如，示例实施例可以存储包括第一和第二项的元模型语义网络。 此外，第一和第二项分别与模型和元模型信息相关联。 接收到计算术语相似度值的请求。 术语相似度值表示第一项和第二项之间的相关性。 然后基于模型与与第一和第二项相关联的元模型信息的比较来计算术语相似度值。

公开(公告)号：US09792355B2

公开(公告)日：2017-10-17

申请号：US13281050

申请日：2011-10-25

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30675

Abstract: In an embodiment, a method is provided for searching similar documents. Here, a document is accessed and terms from a metamodel semantic network is identified. The document is analyzed to identify a number of the terms from the metamodel semantic network that are also found in the document, and to identify a frequency of occurrence in the document for each term. A search is conducted for other documents having frequencies of occurrences that are similar to the identified frequency of occurrence. These other documents have been previously analyzed using the same terms from the metamodel semantic network.

公开(公告)号：US09245006B2

公开(公告)日：2016-01-26

申请号：US13248610

申请日：2011-09-29

Applicant: Stefan Scheidl ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

Inventor： Stefan Scheidl ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Steffen Moldaner

IPC: G06F17/30

CPC classification number: G06F17/30672 ,  G06F17/30528

Abstract: In an embodiment, a method is provided for conducting a search. In this method, a message is received from a client application. A user that initiated the message is identified and context information associated with the user is retrieved. Thereafter, a business object associated with the context information is identified and a domain associated with the business object is identified. Here, the domain includes a number of terms, and one or more of these terms are selected to be included in a query. A search of a data source can then be conducted using this query.

Abstract translation: 在一个实施例中，提供了一种用于进行搜索的方法。 在该方法中，从客户应用程序接收到消息。 识别发起消息的用户，并检索与用户相关联的上下文信息。 此后，识别与上下文信息相关联的业务对象，并且识别与业务对象相关联的域。 这里，域包括多个术语，并且这些术语中的一个或多个被选择为包括在查询中。 然后可以使用该查询进行数据源的搜索。

公开(公告)号：US08935230B2

公开(公告)日：2015-01-13

申请号：US13217732

申请日：2011-08-25

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Klaus Reichenberger ,  Steffen Moldaner ,  Archim Heimann ,  Stephan Brand ,  Nico Licht ,  Michael Neumann ,  Christoph Meinel

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Klaus Reichenberger ,  Steffen Moldaner ,  Archim Heimann ,  Stephan Brand ,  Nico Licht ,  Michael Neumann ,  Christoph Meinel

IPC: G06F17/30 ,  G06N99/00

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。

公开(公告)号：US09779135B2

公开(公告)日：2017-10-03

申请号：US13288730

申请日：2011-11-03

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Matthias Kaiser ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Christoph Meinel ,  Steffen Moldaner

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Michael Neumann ,  Matthias Kaiser ,  Stephan Brand ,  Nico Licht ,  Klaus Reichenberger ,  Archim Heimann ,  Christoph Meinel ,  Steffen Moldaner

IPC: G06F17/30

CPC classification number: G06F17/3043 ,  G06F17/30648 ,  G06F17/30663 ,  G06F17/30731 ,  G06F17/30997

Abstract: In an embodiment, a method is provided for utilizing a meta-model semantic network. In this method, a meta-model of the enterprise data is obtained. The meta-model provides semantic information regarding a definition of a business object. The meta-model is then used to generate a rule definition that maps enterprise data to a semantic object definition and a semantic relation definition. With the rule definition, embodiments may then generate a semantic object and a semantic relation from data extracted from the enterprise data. The semantic object and semantic relation are stored in the meta-model semantic network.

公开(公告)号：US20150052085A1

公开(公告)日：2015-02-19

申请号：US14530418

申请日：2014-10-31

Applicant: Robert Heidasch ,  Stefan Scheidl ,  Klaus Reichenberger ,  Steffen Moldaner ,  Archim Heimann ,  Stephan Brand ,  Nico Licht

Inventor： Robert Heidasch ,  Stefan Scheidl ,  Klaus Reichenberger ,  Steffen Moldaner ,  Archim Heimann ,  Stephan Brand ,  Nico Licht

IPC: G06N5/02

CPC classification number: G06N5/02 ,  G06F17/30731 ,  G06N5/04 ,  G09B7/04

Abstract: A method, machine readable storage medium, and system for providing personalized semantic controls for semantic systems. A semantic network may be set up with initial configuration. A business application user interface, including semantic controls, may be coupled to the semantic network to interact with the semantic network. Semantic objects and relations may be defined in the semantic network for business terminology. A user request for business data may be received. The semantic network may update the objects and relations for business terminology based on the request. The business application user interface may provide for personalized semantic controls based on the updated objects and relations.

Abstract translation: 一种用于为语义系统提供个性化语义控制的方法，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。 可以将包括语义控制的业务应用程序用户界面耦合到语义网络以与语义网络交互。 语义对象和关系可以在用于商业术语的语义网络中定义。 可以接收用户对业务数据的请求。 语义网络可以根据请求更新对象和业务术语的关系。 业务应用程序用户界面可以基于更新的对象和关系来提供个性化语义控件。

公开(公告)号：US5228350A

公开(公告)日：1993-07-20

申请号：US643273

申请日：1991-01-22

Applicant: Hellfried Karpf ,  Marcus J. Leiner ,  Anton Mostl ,  Klaus Reichenberger ,  Bernhard Schaffar ,  Werner E. Ziegler

Inventor： Hellfried Karpf ,  Marcus J. Leiner ,  Anton Mostl ,  Klaus Reichenberger ,  Bernhard Schaffar ,  Werner E. Ziegler

IPC: G01N21/11 ,  G01N1/00 ,  G01N21/05 ,  G01N21/64 ,  G01N21/77 ,  G01N27/07 ,  G01N27/28 ,  G01N27/416 ,  G01N33/00 ,  G01N33/49

CPC classification number: G01N35/1097 ,  G01N21/05 ,  G01N33/0006 ,  G01N33/0026 ,  G01N2021/0346 ,  G01N2201/128

Abstract: Method for analysing gaseous or liquid samples, utilising a one-way measuring element with a measuring channel containing at least one optical or electrochemical sensor and being provided with sealing elements on either end. In order to obtain accurate measurements in a simple manner the proposal is put forward that for measuring purposes a storage medium in the measuring channel be replaced by a separating medium which should then be replaced by the sample. Sample and storage medium will remain in the measuring element when it is discarded.

Abstract translation: 用于分析气体或液体样品的方法，利用具有包含至少一个光学或电化学传感器的测量通道的单向测量元件，并且在任一端上设置有密封元件。 为了以简单的方式获得准确的测量结果，提出了用于测量目的的测量通道中的存储介质被分离介质所替代，该分离介质应由样品代替。 当被丢弃时，样品和存储介质将保留在测量元件中。