科研人员信息消歧研究及通用消歧框架设计
首发时间:2017-11-21
摘要:随着互联网的快速发展,科研人员信息广泛的分布在互联网的各个角落,这些信息蕴含着巨大的研究价值,对科研信息挖掘具有重要意义。然而科研人员信息来源广泛,信息歧义现象严重影响着信息挖掘的准确性,因此对科研人员信息进行有效的消歧和聚合是信息挖掘的首要前提。本文在对国内外各类消歧方法研究的基础上,简述了各类消歧方法的特点并对消歧方法进行了分类,归纳总结了当前消歧方法的主要思路,针对科研人员信息歧义现象,提出一种不局限于某种数据源的通用消歧框架,为科研人员信息消歧提供技术支持。
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Research on Researchers\' Information Disambiguation and Design of General Disambiguation Framework
Abstract:With the rapid development of Internet, the information of researchers is widely distributed in every corners of the Internet, these information is valuable and meaningful to information mining. However, these information is so widespread and ambiguation that the accuracy of information mining is seriously affected, so the premise of information mining is effective disambiguation to researchers\' information. This Paper sketched the characteristics of various disambiguation methods, made a classification and summarized the main ideas of the current disambiguation method based on the research on various methods of disambiguation. In view of the information ambiguity of researchers, proposed a generalized disambiguation framework that doesn\'t limited to some data source and provide technical support for scientific research personnel information disambiguation.
Keywords: computer application disambiguation method and classification two-step clustering disambiguation architecture
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