Invention Grant
US09535978B2 Semantic mapping of topic map meta-models identifying assets and events to include weights
有权
主题地图元模型的语义映射识别资产和事件以包括权重
- Patent Title: Semantic mapping of topic map meta-models identifying assets and events to include weights
- Patent Title (中): 主题地图元模型的语义映射识别资产和事件以包括权重
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Application No.: US14293292Application Date: 2014-06-02
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Publication No.: US09535978B2Publication Date: 2017-01-03
- Inventor: Peter A. Coldicott , Thomas T. Hanis , Eoin Lane
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Brown & Michaels, PC
- Agent Isaac Gooshaw
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06Q10/06

Abstract:
Determining an impact of an event identified in a first topic map meta-model will have on at least one asset identified in a second topic map meta-model representative of weight. A third topic map meta-model is created which maps at least one asset from the second topic map meta-model to an event from the first topic map meta-model and is comprised of: a topic map representation of assets of the second topic map meta-model and events of the first topic map meta-model, a topic map based index with instance ontology of the first and second topic map meta-models, identification of at least one association between an event identified in the first topic map meta-model and at least one asset identified in the second topic map meta-model; and weight assigned to the at least one association.
Public/Granted literature
- US20140280228A1 Semantic Mapping of Topic Map Meta-Models Identifying Assets and Events to Include Weights Public/Granted day:2014-09-18
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