图书情报工作

图书情报工作 >

2014 , Vol. 58 >Issue 09: 96 - 104

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.09.014

知识组织

面向专利本体的语义检索分析系统的设计与实现

  • 许鑫 ,
  • 谷俊 ,
  • 袁丰平 ,
  • 周群芳
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  • 1. 华东师范大学商学院信息学系;
    2. 上海宝山钢铁股份有限公司
许鑫，华东师范大学商学院信息学系副教授，博士，E-mail：xxu@infor.ecnu.edu.cn；谷俊，上海宝山钢铁股份有限公司工程师，博士；袁丰平，上海宝山钢铁股份有限公司工程师；周群芳，上海宝山钢铁股份有限公司副研究员，硕士。

收稿日期: 2014-03-28

  修回日期: 2014-04-22

  网络出版日期: 2014-05-05

基金资助

本文系上海市科技发展基金软科学研究项目“基于专利文献的本体构建与应用方法研究”（项目编号：13692107000）和国家自然科学基金青年科学基金项目“面向知识服务的知识库结构研究”（项目编号：71303109）研究成果之一。

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Design and Achievement of the Semantic Retrieval & Analysis System Based on Domain Ontology

  • Xu Xin ,
  • Gu Jun ,
  • Yuan Fengping ,
  • Zhou Qunfang
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  • 1. Department of Information Science, Business School, East China Normal University, Shanghai 200062;
    2. Baoshan Iron and Steel Co, Ltd., Shanghai 201900

Received date: 2014-03-28

  Revised date: 2014-04-22

  Online published: 2014-05-05

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摘要

在领域本体的基础上，对面向专利文献的语义检索与分析方法进行探讨，并构建一套专利语义检索与分析系统，包括语义检索、趋势分析、相似专利检测、重要专利检测等模块，初步实现基于领域本体的专利语义检索与挖掘。同时，以国际专利分类号为C21的中文专利数据为例进行实验，证明本体扩展后的语义检索的召回率得到大幅提高，继而使得后续的专利分析和挖掘效果更加明显，从而有助于进一步深入开展专利挖掘工作。

关键词： 本体; 语义检索; 专利挖掘; 相似专利; 重要专利

本文引用格式

许鑫 , 谷俊 , 袁丰平 , 周群芳 . 面向专利本体的语义检索分析系统的设计与实现[J]. 图书情报工作, 2014 , 58(09) : 96 -104 . DOI: 10.13266/j.issn.0252-3116.2014.09.014

Abstract

As most of the latest technology methods were revealed in patent documentations, enterprise information departments have to deal with a key issue which is how to make good use of patent documentations. This paper has built a semantic retrieval & analysis system on the basis of domain ontology. This system contains such modules as semantic retrieval, trend analysis, similar patents detection, and important patents detection. With this system, domain ontology-based patent semantic retrieval and patent mining can be achieved. In addition, tests have been carried out on the Chinese patents classified as C21 in the IPC system. It has been proved that the recall ratio of semantic retrieval is greatly improved after ontology expansion, which in turn makes the subsequent patent analysis and mining more effective, and thus contributes to the further implementation of patent mining.

Key words： ontology; semantic retrieval; patent mining; similarity patents; important patents

参考文献

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