面向大数据环境的决策信息需求通用描述语言  

A general language for decision information requirement description on mining big data

作　　者：金欣[1,2] 宗士强[1,2] 闫晶晶[1,2] 王珩[1,2] 李友江[1,2] 

机构地区：[1]信息系统工程重点实验室,江苏南京210007 [2]南京电子工程研究所,江苏南京210007

出　　处：《计算机工程与科学》2015年第8期1436-1443,共8页Computer Engineering & Science

基　　金：国防973计划资助项目

摘　　要：制定重大决策需要全方面的数据支持,而大数据时代的到来却让决策信息搜集更加困难。数据多样性和价值密度低的特点,让决策者耗费大量时间在信息需求的表达上。设计了一种通用的信息需求描述语言,及其为数据库、发布/订阅、搜索引擎等常见信息资源解析转换的方法,使得用户可以通过一种统一的方式将相关异构信息全部搜集到。实验表明,其基于本体的语义描述能力能够有效屏蔽数据异构性,提高信息搜集的全面性和准确性。Important decision making requires all-source data support. However, in the age of big data, collecting decision information becomes even more difficult due to data variety and heterogeneity. To get precise search results, users spend much time on information requirement expression, which causes low efficiency. We design a general language for information requirement description, along with its translation methods for common resources such as databases, publish-subscribe systems and search en- gines. Thus all-source heterogeneous information can be collected by one request in a unified format. Test results demonstrate that its ability to express requirement semantics can solve the cross-area heterogeneity problem of big data with the aid of ontology techniques, and therefore improves the precision and comprehension of information collection.

关 键 词：大数据 决策支持 信息搜集 需求描述 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]