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1. 发明授权

US09779135B2 Semantic related objects 有权
公开(公告)号：US09779135B2
公开(公告)日：2017-10-03
申请号：US13288730
申请日：2011-11-03
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Christoph Meinel , Steffen Moldaner
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Christoph Meinel , Steffen Moldaner
IPC分类号： G06F17/30
CPC分类号： G06F17/3043 , G06F17/30648 , G06F17/30663 , G06F17/30731 , G06F17/30997
摘要： 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.

2. 发明授权

US08935230B2 Self-learning semantic search engine 有权
标题翻译：自学语义搜索引擎
公开(公告)号：US08935230B2
公开(公告)日：2015-01-13
申请号：US13217732
申请日：2011-08-25
申请人： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht , Michael Neumann , Christoph Meinel
发明人： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht , Michael Neumann , Christoph Meinel
IPC分类号： G06F17/30 , G06N99/00
CPC分类号： G06F17/2785 , G06F17/30321 , G06F17/3053 , G06F17/30864 , G06N99/005
摘要： 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.
摘要翻译：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。

3. 发明申请

US20140297574A1 PROBABILISTIC LANGUAGE MODEL IN CONTEXTUAL NETWORK 审中-公开
标题翻译：语境网络中的概率语言模型
公开(公告)号：US20140297574A1
公开(公告)日：2014-10-02
申请号：US14303435
申请日：2014-06-12
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Christian Lahmer , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner , Thomas Pohl
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Christian Lahmer , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner , Thomas Pohl
IPC分类号： G06N3/08 , G06F17/30
CPC分类号： G06F16/245 , G06F16/36 , G06F16/367 , G06N3/0427 , G06N3/08
摘要： 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.
摘要翻译：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。

4. 发明授权

US09256595B2 Calculating term similarity using a meta-model semantic network 有权
标题翻译：使用元模型语义网计算术语相似度
公开(公告)号：US09256595B2
公开(公告)日：2016-02-09
申请号：US13284695
申请日：2011-10-28
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner
IPC分类号： G06F17/27 , G06F17/30 , G06N5/02
CPC分类号： G06F17/2795 , G06F17/2785 , G06F17/30734 , G06N5/02
摘要： 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.
摘要翻译：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。

5. 发明授权

US10642897B2 Distance in contextual network graph 有权
公开(公告)号：US10642897B2
公开(公告)日：2020-05-05
申请号：US13428788
申请日：2012-03-23
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Stephan Brand , Nico Licht , Archim Heimann , Klaus Reichenberger , Steffen Moldaner
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Stephan Brand , Nico Licht , Archim Heimann , Klaus Reichenberger , Steffen Moldaner
IPC分类号： G06F16/901
CPC分类号： G06F16/9024
摘要： A method and apparatus for determining relationships between objects in a meta-model semantic network is described. A contextual network graph comprising nodes and edges representing semantic objects and semantic relationships is generated from a meta-model of business objects from the meta-model semantic network. The contextual network graph is used to generate a unique identifier for each node and associated edge. The unique identifiers are used to compute information of cost and energy between the nodes. The information is stored in a meta-model semantic network database.

6. 发明授权

US09792355B2 Searches for similar documents 有权
公开(公告)号：US09792355B2
公开(公告)日：2017-10-17
申请号：US13281050
申请日：2011-10-25
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30675
摘要： 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.

7. 发明申请

US20150052085A1 PERSONALIZED SEMANTIC CONTROLS 有权
标题翻译：个性化语言控制
公开(公告)号：US20150052085A1
公开(公告)日：2015-02-19
申请号：US14530418
申请日：2014-10-31
申请人： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht
发明人： Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06F17/30731 , G06N5/04 , G09B7/04
摘要： 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.
摘要翻译：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。

8. 发明授权

US08725760B2 Semantic terminology importer 有权
标题翻译：语义术语进口商
公开(公告)号：US08725760B2
公开(公告)日：2014-05-13
申请号：US13149036
申请日：2011-05-31
申请人： Robert Heidasch
发明人： Robert Heidasch
IPC分类号： G06F17/30
CPC分类号： G06F17/30734
摘要： A method, machine readable storage medium, and system for generating a semantic network that utilizes existing relationships between related terms in a searchable database. Upon detection of the absence of a searched term from a database, a term data structure and indexes in a particular domain in which related terms related to the results provided by the search engine may be analyzed to determine if a new term related to the unfound search term should be created. Upon creation of the term, attributes related to the term are generated so the term may be placed in the most proper domain, and linkages to other terms in the same or different domains may be generated. All of the information is stored in the database. User input is not needed to accomplish the creation of the new term in the database.
摘要翻译：一种方法，机器可读存储介质和用于生成利用可搜索数据库中的相关术语之间的现有关系的语义网络的系统。在检测到来自数据库的搜索项目不存在时，可以分析在特定域中的术语数据结构和索引，其中可以分析与搜索引擎提供的结果相关的相关术语，以确定是否与无根据搜索相关的新术语应该创造一个期限。在创建该术语时，生成与该术语相关的属性，使得该术语可以被放置在最合适的域中，并且可以生成与相同或不同域中的其他术语的链接。所有信息都存储在数据库中。用户输入不需要完成在数据库中创建新术语。

9. 发明申请

US20130054563A1 SELF-LEARNING SEMANTIC SEARCH ENGINE 有权
公开(公告)号：US20130054563A1
公开(公告)日：2013-02-28
申请号：US13217732
申请日：2011-08-25
申请人： Robert Heidasch
发明人： Robert Heidasch
IPC分类号： G06F17/30
CPC分类号： G06F17/2785 , G06F17/30321 , G06F17/3053 , G06F17/30864 , G06N99/005
摘要： 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.

10. 发明授权

US08335314B2 Adaptive and secure modular connection 有权
标题翻译：自适应和安全的模块化连接
公开(公告)号：US08335314B2
公开(公告)日：2012-12-18
申请号：US12844253
申请日：2010-07-27
申请人： Robert Heidasch
发明人： Robert Heidasch
IPC分类号： H04K1/04 , H04K1/00 , H04L9/00 , H04L29/06 , G07B17/00 , H04L9/08 , H04L9/28 , G06F12/14
CPC分类号： H04L63/061 , H04L2463/062
摘要： A method and system to increase the security of messages transmitted over an otherwise unsecured network. A secure channel is established in a normal manner over the network. A demodularization module on the sender sends a demodularization method to the intended receiver over the secure channel. The sender encodes a message definition and message data separately consistent with the demodularization method. The message definition and message key is sent over the secure channel as one transmission and the message data with the message key is sent as separate transmissions over the secure channel. Other embodiments are also described and claimed.
摘要翻译：一种用于增加通过否则不安全网络传输的消息的安全性的方法和系统。通过网络以正常方式建立安全通道。发送方的解调模块通过安全通道向目标接收方发送解调方法。发送者对消息定义和消息数据进行编码，与解调方法分开一致。消息定义和消息密钥作为一个传输通过安全信道发送，并且具有消息密钥的消息数据通过安全信道作为单独传输发送。还描述和要求保护其他实施例。

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