公开(公告)号：US20050033605A1

公开(公告)日：2005-02-10

申请号：US10680863

申请日：2003-10-07

申请人： Heather Bergeron ,  Chris Easton ,  Andrew Kennedy ,  James Kennedy ,  Doug Koen ,  Eugene Krylov ,  John Morris ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  John Trustman ,  Lyubomir Vujisic ,  Andre Yoshida

发明人： Heather Bergeron ,  Chris Easton ,  Andrew Kennedy ,  James Kennedy ,  Doug Koen ,  Eugene Krylov ,  John Morris ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  John Trustman ,  Lyubomir Vujisic ,  Andre Yoshida

IPC分类号： G06F17/27 ,  G06Q10/00 ,  G06F17/60

CPC分类号： G06Q10/10 ,  G06F17/2785 ,  G06Q30/0601 ,  G06Q50/22

摘要： The disclosed technology can identify indicia associated with different entity types (e.g., health care companies, health care suppliers, health care practitioners, etc.) that interact within a health care industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed based, at least in part, on a detection of at least one interaction associated with the entities.

摘要翻译： 所公开的技术可以识别与在医疗保健行业内相互作用的不同实体类型（例如，医疗保健公司，医疗保健供应商，医疗保健从业人员等）相关联的标记，识别一个或多个关系（例如合同条款） 影响此类实体类型之间的交互，并识别与一个或多个交互关联的事务。 此外，所识别的事务可以被组织成一个或多个事务序列。 所识别的标记，一个或多个所识别的关系以及一个或多个事务序列随后可以被关联以形成语义网络。 可以至少部分地基于与实体相关联的至少一个交互的检测来形成语义网络的实例。

公开(公告)号：US20060173672A1

公开(公告)日：2006-08-03

申请号：US10681052

申请日：2003-10-07

申请人： Heather Bergeron ,  Chris Easton ,  Andrew Kennedy ,  James Kennedy ,  Doug Koen ,  Eugene Krylov ,  John Morris ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  John Trustman ,  Lyubomir Vujisic ,  Andre Yoshida

发明人： Heather Bergeron ,  Chris Easton ,  Andrew Kennedy ,  James Kennedy ,  Doug Koen ,  Eugene Krylov ,  John Morris ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  John Trustman ,  Lyubomir Vujisic ,  Andre Yoshida

IPC分类号： G06F17/27

CPC分类号： G06F17/27

摘要： The disclosed technology can execute a sequence of transactions to process a request associated with a health care company and/or other entities interacting in a health care industry. Execution of at least some of the transaction sequence can result in the formation of an instance of a semantic network that can be used to support such processing. The request can correspond to a change in a relationship associated with such entities, where such request corresponds to an electronic document exhibiting a structured natural language format with a fixed context and a fixed grammar.

摘要翻译： 所公开的技术可以执行一系列交易以处理与医疗保健公司和/或在医疗保健行业中交互的其他实体相关联的请求。 执行至少一些事务序列可以导致形成可用于支持这种处理的语义网络的实例。 该请求可以对应于与这种实体相关联的关系的改变，其中这样的请求对应于呈现具有固定上下文和固定语法的结构化自然语言格式的电子文档。

公开(公告)号：US20050033583A1

公开(公告)日：2005-02-10

申请号：US10656909

申请日：2003-09-05

申请人： Heather Bergeron ,  Chris Easton ,  Kunjan Jhaveri ,  Andrew Kennedy ,  James Kennedy ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  Benjamin Sprecher ,  John Trustman

发明人： Heather Bergeron ,  Chris Easton ,  Kunjan Jhaveri ,  Andrew Kennedy ,  James Kennedy ,  Jayant Pai ,  Alon Peled ,  Simone Pringle ,  Benjamin Sprecher ,  John Trustman

IPC分类号： G06F17/27 ,  G06Q10/00 ,  G10L11/00

CPC分类号： G06Q10/10 ,  G06F17/2785

摘要： The disclosed technology can identify indicia associated with different entity types that interact within an industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed in response to the execution of at least some of the transaction sequence and can serve, at least in part, as the basis for processing requests associated with the entities. The requests can correspond to interactions associated with the entities and may be represented in a natural language format, exhibiting a fixed context and a fixed grammar.

摘要翻译： 所公开的技术可以识别与在行业内交互的不同实体类型相关联的标记，识别可影响这些实体类型之间的交互的一个或多个关系（例如，合同规定），以及识别与一个或多个交互相关联的交易。 此外，所识别的事务可以被组织成一个或多个事务序列。 所识别的标记，一个或多个所识别的关系以及一个或多个事务序列随后可以被关联以形成语义网络。 语义网络的实例可以响应于至少一些交易序列的执行形成，并且可以至少部分地用作处理与实体相关联的请求的基础。 请求可以对应于与实体相关联的交互，并且可以以自然语言格式表示，表现出固定的上下文和固定语法。