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Research interests: their dynamics, structures and applications in unifying search and reasoning

机译:研究兴趣:它们的动力学,结构和在统一搜索和推理中的应用

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摘要

Most scientific publication information, which may reflects scientists' research interests, is publicly available on the Web. Understanding the characteristics of research interests from previous publications may help to provide better services for scientists in the Web age. In this paper, we introduce some parameters to track the evolution process of research interests, we analyze their structural and dynamic characteristics. According to the observed characteristics of research interests, under the framework of unifying search and reasoning (ReaSearch), we propose interests-based unification of search and reasoning (I-ReaSearch). Under the proposed I-ReaSearch method, we illustrate how research interests can be used to improve literature search on the Web. According to the relationship between an author's own interests and his/her co-authors interests, social group interests are also used to refine the literature search process. Evaluation from both the user satisfaction and the scalability point of view show that the proposed I-ReaSearch method provides a user centered and practical way to problem solving on the Web. The efforts provide some hints and various methods to support personalized search, and can be considered as a step forward user centric knowledge retrieval on the Web. From the standpoint of the Active Media Technology (AMT) on the Wisdom Web, in this paper, the study on the characteristics of research interests is based on complex networks and human dynamics, which can be considered as an effort towards utilizing information physics to discover and explain the phenomena related to research interests of scientists. The application of research interests aims at providing scientific researchers best means and best ends in an active way for literature search on the Web. © 2010 Springer Science+Business Media, LLC.
机译:可以反映科学家研究兴趣的大多数科学出版物信息都可以在Web上公开获得。了解以前出版物中研究兴趣的特征可能有助于为网络时代的科学家提供更好的服务。在本文中,我们介绍了一些参数来跟踪研究兴趣的演变过程,我们分析了它们的结构和动态特性。根据研究兴趣的观察特征,在搜索与推理(ReaSearch)统一的框架下,提出基于兴趣的搜索与推理(I-ReaSearch)统一。在提出的I-ReaSearch方法下,我们说明了如何利用研究兴趣来改进网络上的文献搜索。根据作者自身利益和他/她的共同作者利益之间的关系,社会团体利益也可以用来完善文献检索过程。从用户满意度和可伸缩性的角度进行评估表明,所提出的I-ReaSearch方法提供了一种以用户为中心的实用方法来解决Web问题。这些努力提供了一些提示和各种方法来支持个性化搜索,并且可以认为是在Web上以用户为中心的知识检索的一个进步。从智慧网络上的主动媒体技术(AMT)的角度出发,本文对研究兴趣的特征的研究是基于复杂的网络和人类动力学的,这可以看作是努力利用信息物理学来发现并解释与科学家的研究兴趣有关的现象。研究兴趣的应用旨在以积极的方式为科学研究人员提供最佳手段和最佳目的,以便在网络上进行文献搜索。 ©2010 Springer Science + Business Media,LLC。

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