基于大数据的知识服务平台构建关键技术研究

Research on key technologies for building knowledge service platform based on big data

在信息领域研究方面,大数据生态系统能够发挥指导作用,为信息管理提供明确方向。而在大数据生态系统中,大数据知识服务平台属于核心组成部分,对系统功能应用具有重要影响。在网络技术与计算机技术快速发展的过程中,大数据知识服务平台建设开始迎来新的机遇,数据挖掘、人机交互与数据管理等逐渐应用到平台建设中,成为平台构建中的关键性技术。为促进信息管理工作顺利开展,各信息管理部门都在积极探索平台构建中的关键技术。本文主要对大数据知识服务模式进行分析,以图书馆用户信息作为研究调查、对象,明确大数据知识服务平台建设的重要性,并对平台中关键技术进行探索。

In the field of information,the big data ecosystem can play a guiding role and provide a clear direction for information management.In the big data ecosystem,the big data knowledge service platform is a core component and has an important impact on the application of system functions.In the process of rapid development of network technology and computer technology,the construction of big data knowledge service platform has ushered in new opportunities.Data mining,humancomputer interaction and data management have gradually been applied to platform construction,becoming a key technology in platform construction.In order to promote the smooth development of information management,all information management departments are actively exploring key technologies in platform construction.This article mainly analyzes the big data knowledge service model,takes the library user information as the research object,clarifies the importance of the big data knowledge service platform construction,and explores the key technologies in the platform.