发明名称 SEMANTIC MAPPING OF TOPIC MAP META-MODELS IDENTIFYING ASSETS AND EVENTS TO INCLUDE DIRECTIONALITY
摘要 Method, computer program product and computer system for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets. To assign a direction of impact, a first topic map meta-model is created that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events. An identification is assigned in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events and a second topic map meta-model being created that identifies at least one association and instance ontology with direction of impact assigned to the at least one association in various scopes.
申请公布号 US2017091304(A1) 申请公布日期 2017.03.30
申请号 US201514867156 申请日期 2015.09.28
申请人 INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 Hanis Thomas T.;Lane Eoin;Zhang Ke;Zhao Zhuo Z.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method of assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets, the method comprising the steps of: the computer creating a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events; the computer assigning an identification in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events; and the computer creating a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets, based on an impact of the event on at least one of the assets of the association.
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