Ontology-based Approach for Extracting User Interests Centers

I. E. Achkar, Amine Labriji, Fadoua Ghanimi, E. Labriji
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引用次数: 2

Abstract

Since the creation of the web, the number of its numeric data is increasing exponentially, which lead to two major problems: cognitive overload and disorientation [1]. To respond to these problems, researchers have proposed adaptive information systems, which allow providing relevant results to the specific need of the user. Generally the selection of interesting documents to a user is done on the basis of his area of interest, inferred from the information about the user or his user profile. Thus the calculation of the interest center is one of the essential elements for a relevant research. In this paper we use a graphical representation of the user profile based on the structure of an ontology. Thus we were be able to use the power of mathematical calculations of graphs to deduce the user's interests center taking into account the semantic links between the graph's concepts.
基于本体的用户兴趣中心提取方法
自从网络诞生以来,其数字数据的数量呈指数级增长,这导致了两个主要问题:认知超载和定向障碍。为了解决这些问题,研究人员提出了自适应信息系统,它可以根据用户的具体需要提供相关的结果。一般来说,用户感兴趣的文档的选择是基于他感兴趣的领域,从有关用户的信息或他的用户配置文件中推断出来的。因此,利益中心的计算是相关研究的基本要素之一。在本文中,我们使用基于本体结构的用户概要的图形表示。因此,我们能够利用图的数学计算的力量来推断用户的兴趣中心,同时考虑到图的概念之间的语义联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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