基于IGA的知识检索需求获取方法  

An IGA-based requirements elicitation method for knowledge retrieval

作　　者：蒋翠清[1,2] 易成成[1] 杜伟[1] 

机构地区：[1]合肥工业大学管理学院,安徽合肥230009 [2]合肥工业大学过程优化与智能决策教育部重点实验室,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2011年第3期353-358,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(70871034);安徽省高校自然科学研究重点资助项目(KJ2010A259)

摘　　要：针对知识检索过程中用户需求模糊、不充分而难以准确获取的问题,文章通过分析用户需求的特点,将其区分为显性和隐性2部分,并结合概念图的思想设计了一种需求语义描述模型;以此为基础,结合交互式遗传算法的基本原理,探讨了交互式遗传算法在知识检索需求获取过程中的应用模式,并通过实验验证了模型及方法的可行性。In order to effectively solve the disadvantage of the requirements elicitation of knowledge retrieval caused by users＇ vague and inadequate demand, and based on the characteristic analysis, this paper divides the user demand into two parts, namely explicit part and implicit part. And a description model for the user demand is designed with the idea of concept map. Then by applying the basic theory of interactive genetic algorithm（IGA）, the application pattern of this method in the requirements elicitation of knowledge retrieval is explored. Finally, the feasibility of presented model and method is tested and verified by experiments.

关 键 词：知识检索 交互式遗传算法 需求获取 需求模型 

分 类 号：G354.2[文化科学—情报学]