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Importance of Entities in Knowledge

机译：实体在知识中的重要性

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摘要

There is a growing need for managing importance of entities in knowledge system in order to realize the full potential of knowledge. How to calculate the importance of entities automatically is the primary issue. We argue that importance of entities in knowledge is dynamic, the importance is changed along with the using of ontology; and different groups of user have different criteria of importance. In this paper, a novel weight assignment method which takes usage and structure properties of ontology into account is proposed. When considering the usage information of ontology, we analyze paths that are used to respond to queries; and use the frequency of entities included in the paths to produce the optimal weight assignment for the assumption of high importance of entities which included in paths that respond to queries. After get the initial weight of entities, a pervasion algorithm which considers the structure of ontology is used to compute the final weight of entities. Weight of a node is high if the node has many incoming links and the incoming links and nodes which these links are from have high scores. Experiment show effectiveness of this weight assignment method.
机译：为了实现知识的全部潜力，越来越需要管理实体在知识系统中的重要性。如何自动计算实体的重要性是主要问题。我们认为，实体在知识中的重要性是动态的，重要性随着本体的使用而改变。不同的用户组具有不同的重要性标准。本文提出了一种新的权重分配方法，该方法考虑了本体的用法和结构特性。在考虑本体的使用信息时，我们分析了用于响应查询的路径;并使用路径中包含的实体的频率来生成最佳权重分配，以假定包含在响应查询的路径中的实体具有很高的重要性。在获得实体的初始权重之后，使用考虑了本体结构的渗透算法来计算实体的最终权重。如果节点具有许多入站链接，并且入站链接和这些链接来自的节点的得分较高，则该节点的权重很高。实验证明了这种权重分配方法的有效性。

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