收稿日期: 2015-10-28
修回日期: 2015-12-06
网络出版日期: 2015-12-20
Information Process Reengineering Based on the Principle of Data Farming
Received date: 2015-10-28
Revised date: 2015-12-06
Online published: 2015-12-20
[目的/意义]针对目前信息咨询服务中咨询问题分析的复杂性、决策选择的不确定性、咨询效果评价的延时性等不足,建立一套信息咨询流程,引导图书馆更好地开展信息咨询服务,提高咨询服务效果。[方法/过程]将数据耕耘的技术理念引入到传统的咨询流程中,结合该技术的仿真性、探索循环、协同性等技术特征,重新构建咨询的"数据播种"、"数据施肥"、"数据耕作"、"数据栽培"、"数据收获"等一系列咨询流程。[结果/结论]数据耕耘技术理念关照下的流程仿真结果显示,咨询流程引入数据耕耘技术理念后,增强了对不确定数据的应用,丰富了咨询结果,改善了最优咨询效果的选择与评价,为咨询服务的研究与实践提供了有益参考。
刘宝瑞 , 郭红晓 . 基于数据耕耘理念的信息咨询流程再造[J]. 图书情报工作, 2015 , 59(24) : 33 -38 . DOI: 10.13266/j.issn.0252-3116.2015.24.005
[Purpose/significance] In view of deficiencies of current information consulting service, such as complexity of consulting problem analysis, uncertainty of decision options, and delay of consulting effect evaluation, the consulting service effect can be improved by setting up a set of information consulting process to guide the library to provide better information consulting service.[Method/process] The technical concept of data farming is introduced into the traditional consultation procedure. Combined with characteristics of the technique, such as simulation, cycled exploration and collaboration, a series of consultation procedures are tried to be built, which include "data sowing", "data fertilizing", "data farming", "data cultivating", and "data harvesting".[Result/conclusion] The simulation results of the process under the technical concept of data farming show that after introducing the technical concept of data farming, the consulting process applies uncertain data, enriches the consulting result, improves selection and evaluation of the optimal consulting effect, and provides beneficial reference for study and practice of consulting service.
Key words： information consultation; consultation procedure; data farming
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