面向智能搜索的动态知识网络建模  

Dynamic Knowledge Network Modeling Orient to Intelligent Search

作　　者：刘剑[1,2,3] 许洪波[1] 贾岩涛[1] 程学旗[1] 

机构地区：[1]中国科学院计算技术研究所网络数据科学与技术重点实验室,北京100190 [2]中国科学院大学,北京100190 [3]解放军外国语学院语言工程系,洛阳471003

出　　处：《电信科学》2014年第10期64-70,共7页Telecommunications Science

基　　金：国家重点基础研究发展计划("973"计划)基金资助项目(No.2012CB316303;No.2013CB329602);国家自然科学基金资助项目(No.60933005;No.61232010;No.61173064);国家科技支撑计划基金资助项目(No.2012BAH39B04)

摘　　要：随着互联网数据的爆炸式增长和网民获取信息需求的不断增强,传统的搜索方式在移动搜索领域已经难以满足用户的需求,迫切需要将搜索方式从基于词层面提高到基于语义层面,实现基于语义理解的智能搜索。面向开放的互联网数据资源,提出了"动态知识网络+计算算子"的智能搜索模式。在此基础上,详细阐述了动态知识网络的理论基础、结构模式、系统模型及其特点,并且给出了基于动态知识网络支撑智能搜索的基本结构框架,从而对面向语义理解的智能搜索提供理论和模型支撑。最后,对未来研究过程中面临的主要问题和挑战进行了展望。With the explosive growth of internet data and the increasing user demand, the traditional search methodshas been difficult to meet user＇s needs in the mobile search field. In order to achieve the intelligent search basedon semantic understanding, it is urgent to improve the level of search from word-based to semantic-based. Facing tothe open internet data resources, an intelligent search pattern on ＂dynamic knowledge network ＋ calculationoperator＂ was proposed. Then, dynamic knowledge network was described in detail, which included theoretical basis,structure model, system model and features. Furthermore, it was presented about the basic structure of intelligentsearch based on dynamic knowledge network, which provided the support about theory and model for intelligentsearch. Finally, the main problems and challenges in the future were explained.

关 键 词：智能搜索 知识网络 超图 语义理解 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]