METHOD FOR RECONCILING MAPPINGS IN DYNAMIC/EVOLVING WEB-ONTOLOGIES USING CHANGE HISTORY ONTOLOGY
    1.
    发明申请
    METHOD FOR RECONCILING MAPPINGS IN DYNAMIC/EVOLVING WEB-ONTOLOGIES USING CHANGE HISTORY ONTOLOGY 审中-公开
    使用变化历史原理在动态/演化网络中重建映射的方法

    公开(公告)号:US20110078698A1

    公开(公告)日:2011-03-31

    申请号:US12576342

    申请日:2009-10-09

    IPC分类号: G06F9/50

    CPC分类号: G06F16/367

    摘要: The present invention is directed to reconciliation/reengineering of mappings in dynamic/evolving ontologies. Mappings are established among different ontologies for resolving the terminological and conceptual incompatibilities and support information exchange. As ontology evolves from one consistent state to another consistent state; this consequently makes the existing mappings of the domain ontology with other ontologies unreliable and staled, so mapping evolution is required. The present invention uses Change History Log of ontology changes to drastically reduce the time required for (re)establishing mappings among ontologies, achieving higher accuracy, and eliminating staleness in mappings. It is valid for more than two ontologies with local, centralized, and distributed Change History Log.

    摘要翻译: 本发明涉及在动态/演化本体中映射的对账/再造。 映射在不同的本体之间建立,用于解决术语和概念的不兼容性并支持信息交换。 随着本体从一个一致的状态演变到另一个一致的状态; 因此,现有的域本体与其他本体的映射不可靠和稳定,因此需要映射演化。 本发明使用本体变化的变化历史日志大幅度地减少(重新)建立本体之间的映射所需的时间,实现更高的准确性,并消除映射的陈旧。 它适用于具有本地,集中式和分布式更改历史记录的两个以上本体。

    Data processing method and apparatus for clinical decision support system
    2.
    发明授权
    Data processing method and apparatus for clinical decision support system 有权
    临床决策支持系统的数据处理方法和装置

    公开(公告)号:US08799197B2

    公开(公告)日:2014-08-05

    申请号:US13315427

    申请日:2011-12-09

    IPC分类号: G06F15/18 G06N3/00 G06N3/12

    CPC分类号: G16H50/20 G06F19/00

    摘要: Provided is a data processing method for clinical decision support system. The data processing method provides an algorithm capable of performing parsing based on an Ontology technique and automatically updating rule database in order to reduce time and labor overloads accompanied by update of the rule database. According to an aspect, the data processing method includes inferring input data having a natural language format based on an Ontology technique to recognize at least one input rule included in the input data; inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize at least one storage rule associated with the input rule from the storage data; comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and updating the storage data stored in the rule database to the input data according to the result of the comparison.

    摘要翻译: 提供了一种用于临床决策支持系统的数据处理方法。 数据处理方法提供了一种能够基于本体技术执行解析并自动更新规则数据库的算法,以便减少伴随规则数据库更新的时间和劳动力过载。 根据一方面,数据处理方法包括基于本体技术推断具有自然语言格式的输入数据,以识别包括在输入数据中的至少一个输入规则; 推断具有自然语言格式的存储数据并基于本体技术存储在规则数据库中,以从存储数据识别与输入规则相关联的至少一个存储规则; 使用自我进化规则库算法将输入规则与存储规则进行比较; 以及根据比较结果将存储在规则数据库中的存储数据更新为输入数据。

    DATA PROCESSING METHOD AND APPARATUS FOR CLINICAL DECISION SUPPORT SYSTEM
    3.
    发明申请
    DATA PROCESSING METHOD AND APPARATUS FOR CLINICAL DECISION SUPPORT SYSTEM 有权
    数据处理方法和临床决策支持系统的设备

    公开(公告)号:US20130132312A1

    公开(公告)日:2013-05-23

    申请号:US13315427

    申请日:2011-12-09

    IPC分类号: G06N3/12 G06N5/04

    CPC分类号: G16H50/20 G06F19/00

    摘要: Provided is a data processing method for clinical decision support system. The data processing method provides an algorithm capable of performing parsing based on an Ontology technique and automatically updating rule database in order to reduce time and labor overloads accompanied by update of the rule database. According to an aspect, the data processing method includes inferring input data having a natural language format based on an Ontology technique to recognize at least one input rule included in the input data; inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize at least one storage rule associated with the input rule from the storage data; comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and updating the storage data stored in the rule database to the input data according to the result of the comparison.

    摘要翻译: 提供了一种用于临床决策支持系统的数据处理方法。 数据处理方法提供了一种能够基于本体技术执行解析并自动更新规则数据库的算法,以便减少伴随规则数据库更新的时间和劳动力过载。 根据一方面,数据处理方法包括基于本体技术推断具有自然语言格式的输入数据,以识别包括在输入数据中的至少一个输入规则; 推断具有自然语言格式的存储数据并基于本体技术存储在规则数据库中,以从存储数据识别与输入规则相关联的至少一个存储规则; 使用自我进化规则库算法将输入规则与存储规则进行比较; 以及根据比较结果将存储在规则数据库中的存储数据更新为输入数据。