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    • 1. 发明申请
    • PROCESS FOR RANKING SEMANTIC WEB RESORUCES
    • 排序语义网结构的过程
    • US20110040717A1
    • 2011-02-17
    • US12989572
    • 2009-04-22
    • Sang-Kyu RhoHyun-Jung ParkJin-Soo Park
    • Sang-Kyu RhoHyun-Jung ParkJin-Soo Park
    • G06N5/02
    • G06F16/951
    • Disclosed is a process for ranking semantic web resources, comprising the steps of; establishing an RDF knowledge base using diverse tools that support the establishment of ontologies; setting, by class, object and subject weights for an object type attribute and a weight for a data type attribute on the schema composed of classes that constitute a domain and of attributes that describe relationships between these classes; extracting from the RDF knowledge base an RDF triple composed of three portions, i.e., a subject, a predicate and an object; creating a weight matrix of class-oriented attributes based on a set weight and the extracted RDF triple; and operating the created weight matrix of class-oriented attributes to calculate a first eigenvector and obtain a vector for ranking scores of resources.
    • 公开了一种用于对语义网资源进行排序的过程,包括以下步骤: 使用支持本体建立的各种工具建立RDF知识库; 根据类,对象和主体权重设置对象类型属性和由构成域的类构成的模式上的数据类型属性的权重以及描述这些类之间的关系的属性; 从RDF知识库中提取由三部分组成的RDF三元组,即主题,谓词和对象; 基于设置的权重和提取的RDF三元组创建面向类的属性的权重矩阵; 并且操作所创建的面向类属性的权重矩阵以计算第一特征向量并且获得用于对资源分数进行排名的向量。