基于分析的直接限定关系语义建模
Semantic Modeling of Analytic-based Relationships with Direct Qualification
摘要：
成功地对文档的状态和基于分析的语义关系进行建模，可以增强文档的表示、重要性、相关性、出处和优先级。这些属性是形成文档的基于机器的知识表示的核心元素。然而，对可能随时间变化的文档关系进行建模对于语义技术来说可能是不优雅的、有限的、复杂的或过于繁重的。在本文中，我们提出了直接资格（DQ），建模任何语义引用的文档，概念，或命名的图形与相关的应用分析的结果的方法。所提出的方法补充了传统的主客体关系，提供了第三条腿的关系，资格如何和为什么关系存在。为了说明这一点，我们展示了一个基于事件的系统原型，该系统具有一个现实的用例，用于将DQ应用于PageRank和超链接诱导主题搜索（HITS）的相关性分析。
英文摘要：
Successfully modeling state and analytics-based semantic relationships of documents enhances representation, importance, relevancy, provenience, and priority of the document. These attributes are the core elements that form the machine-based knowledge representation for documents. However, modeling document relationships that can change over time can be inelegant, limited, complex or overly burdensome for semantic technologies. In this paper, we present Direct Qualification (DQ), an approach for modeling any semantically referenced document, concept, or named graph with results from associated applied analytics. The proposed approach supplements the traditional subject-object relationships by providing a third leg to the relationship; the qualification of how and why the relationship exists. To illustrate, we show a prototype of an event-based system with a realistic use case for applying DQ to relevancy analytics of PageRank and Hyperlink-Induced Topic Search (HITS).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
