An ontology based data model for Iranian research information

Marzieh Raoufnezhad, M. Kahani, Yaghoob Maharati
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Abstract

As the number of researcher increases, the amount of information related to research activities grows rapidly. As a result, the management of this information for better retrieval and analysis has become an important issue. Many data models abroad and within Iran have been developed to address this issue. In this paper, after comparing some of these models, a new ontology based data model is proposed. The evaluation results show that the proposed method increases the performance and the organization of research information management compared to the existing methods.
基于本体的伊朗研究信息数据模型
随着研究人员数量的增加,与研究活动相关的信息量也在迅速增长。因此,如何对这些信息进行更好的检索和分析就成为一个重要的问题。伊朗国内外已经开发了许多数据模型来解决这个问题。本文在比较了这些模型的基础上,提出了一种新的基于本体的数据模型。评价结果表明,与现有方法相比,该方法提高了科研信息管理的性能和组织性。
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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