融合情报方法论与人工智能技术的企业竞争情报系统模型构建
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摘要
【目的/意义】人工智能技术的飞速发展和广泛应用为企业情报资源的开发与利用提供了良好的条件。大数据环境下,利用人工智能技术帮助企业从海量信息中智能化地获取情报,对于企业获得和保持竞争优势有着重要的意义。【方法/过程】回顾和梳理了人工智能技术应用于竞争情报的相关研究,分析和阐述了企业竞争情报系统对于智能技术的需求,将人工智能技术应用于竞争情报系统的整个流程与环节中。【结果/结论】文章以"事实数据+工具方法+专家智慧"的情报方法论为指导,基于人工智能技术构建了企业竞争情报系统模型。该模型由情报采集子系统、情报分析子系统和情报服务子系统组成。分析了各组成部分的结构与功能。
【Purpose/significance】The rapid development and extensive application of artificial intelligence technology provide good conditions for the development and utilization of enterprise intelligence resources. Under the environment of big data, using artificial intelligence technology to help enterprises acquire intelligence intelligently from massive information is of great significance for enterprises to obtain and maintain competitive advantage.【Method/process】This paper reviews and sorts out the related research on the application of artificial intelligence technology to competitive intelligence, analyses and expounds the demand of enterprise competitive intelligence system for intelligent technology, and applies artificial intelligence technology to the whole process and link of competitive intelligence system.【Result/conclusion】Guided by the intelligence methodology of "factual data + tools method + experts wisdom", this paper constructs a model of enterprise competitive intelligence system based on artificial intelligence technology. The model consists of intelligence collection subsystem, intelligence analysis subsystem and intelligence service subsystem. The structure and function of each component are analyzed.
【Purpose/significance】The rapid development and extensive application of artificial intelligence technology provide good conditions for the development and utilization of enterprise intelligence resources. Under the environment of big data, using artificial intelligence technology to help enterprises acquire intelligence intelligently from massive information is of great significance for enterprises to obtain and maintain competitive advantage.【Method/process】This paper reviews and sorts out the related research on the application of artificial intelligence technology to competitive intelligence, analyses and expounds the demand of enterprise competitive intelligence system for intelligent technology, and applies artificial intelligence technology to the whole process and link of competitive intelligence system.【Result/conclusion】Guided by the intelligence methodology of "factual data + tools method + experts wisdom", this paper constructs a model of enterprise competitive intelligence system based on artificial intelligence technology. The model consists of intelligence collection subsystem, intelligence analysis subsystem and intelligence service subsystem. The structure and function of each component are analyzed.
引文
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2 Anica-Popa I,Cucui G.A Framework for Enhancing Competitive Intelligence Capabilities using Decision Support System based on Web Mining Techniques[J].International Journal of Computers Communications&Control,2009,4(4):326-334.
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15龚花萍,高洪新.基于领域本体模型的情景分析法在中小企业竞争情报中的应用研究[J].情报科学,2017,35(10):99-102.
16张玉峰,何超.基于本体的竞争情报语义整合与分析研究[J].情报理论与实践,2011,34(7):64-66.
17路燕,于晓东.基于改进K-Means算法的企业竞争情报研究--以社会网络分析为方法[J].情报科学,2017,(12):81-85.
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19 Ben Sassi D,Frini A,Wahiba B A K,et al.A Competitive Intelligence Solution to Predict Competitor Action Using K-modes Algorithm and Rough Set Theory[J].Procedia Computer Science,2016,96(C):597-606.
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23吴晨生,李辉,付宏,等.情报服务迈向3.0时代[J].情报理论与实践,2015,38(9):1-7.
24张晓翊,张玉峰.基于Multi-Agent的竞争情报智能采集模型研究[J].情报科学,2006,24(12):1776-1781.
25漆桂林,高桓,吴天星.知识图谱研究进展[J].情报工程,2017,3(1):4-25.
26吴运兵,杨帆,赖国华,等.知识图谱学习和推理研究进展[J].小型微型计算机系统,2016,37(9):2007-2013.
27徐增林,盛泳潘,贺丽荣,等.知识图谱技术综述[J].电子科技大学学报,2016,45(4):589-606.
28余波,温亮明,张妍妍.大数据环境下情报研究方法论体系研究[J].情报科学,2016,34(9):7-12.
29化柏林.网络海量信息环境下的情报方法体系研究[J].情报理论与实践,2012,35(11):1-5.
30李超,周瑛,周焕.大数据环境下情报分析方法与情报分析软件探讨[J].现代情报,2017,37(7):151-158.
31张玉峰,何超.基于数据挖掘的企业竞争情报分析研究[J].情报学报,2012,31(1):65-71.
32江洪,钟永恒,於维樱.产业技术分析服务:专业图书馆新的探索与实践[J].图书情报工作,2013,(7):40-44.
2 Anica-Popa I,Cucui G.A Framework for Enhancing Competitive Intelligence Capabilities using Decision Support System based on Web Mining Techniques[J].International Journal of Computers Communications&Control,2009,4(4):326-334.
3 Lubica S,Gabriela M.The Need of Complex Competitive Intelligence[J].Procedia Social and Behavioral Sciences,2014,110(10):669-677.
4丁月华.协同学视角下企业竞争情报系统协同的形成和实现机制研究[J].情报理论与实践,2015,38(10):57-63.
5李广建,杨林.大数据视角下的情报研究与情报研究技术[J].图书与情报,2012,(6):1-8.
6杨林,李广建.情报分析系统的发展趋势[J].图书情报工作,2013,(7):116-121.
7吴晨生,陈雪飞,李佳娱,等.情报3.0环境下的情报生产要素特征与情报生产方式变革[J].情报理论与实践,2018,(1):1-4.
8乔晓东,朱礼军,李颖,等.大数据时代的技术情报工程[J].情报学报,2014,(12):1255-1263.
9 Amarouche K,Benbrahim H,Kassou I.Product Opinion Mining for Competitive Intelligence[J].Procedia Computer Science,2015,(73):358-365.
10 Xu K,Liao S S,Li J,et al.Mining comparative opinions from customer reviews for Competitive Intelligence[J].Decision Support Systems,2011,50(4):743-754.
11 He W,Shen J,Tian X,et al.Gaining competitive intelligence from social media data[J].Industrial Management&Data Systems,2015,115(9):1622-1636.
12 Kim Y,Dwivedi R,Zhang J,et al.Competitive intelligence in social media Twitter:i Phone 6 vs.Galaxy S5[J].Online Information Review,2016,40(1):42-61.
13 Shih M J,Liu D R,Hsu M L.Discovering competitive intelligence by mining changes in patent trends[M].Oxford:Pergamon Press,Inc,2010.
14 Wang B,Liu S,Ding K,et al.Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis:a case study in LTE technology[J].Scientometrics,2014,101(1):685-704.
15龚花萍,高洪新.基于领域本体模型的情景分析法在中小企业竞争情报中的应用研究[J].情报科学,2017,35(10):99-102.
16张玉峰,何超.基于本体的竞争情报语义整合与分析研究[J].情报理论与实践,2011,34(7):64-66.
17路燕,于晓东.基于改进K-Means算法的企业竞争情报研究--以社会网络分析为方法[J].情报科学,2017,(12):81-85.
18张玉峰,黄姮.融合文本自动分类的竞争情报定标比超分析模型研究[J].图书情报知识,2011,(4):78-83.
19 Ben Sassi D,Frini A,Wahiba B A K,et al.A Competitive Intelligence Solution to Predict Competitor Action Using K-modes Algorithm and Rough Set Theory[J].Procedia Computer Science,2016,96(C):597-606.
20 Wei Q,Wang J,Chen G,et al.Generating Competitive Intelligence Digests with a LDA-Based Method:A Case of BT Intellact[C]//International Conference on HCI in Business,Government and Organizations.Springer,Cham,2016:341-349.
21 Jeong B,Yoon J.Competitive intelligence analysis of augmented reality technology using patent information[J].Sustainability,2017,9(4):1-22.
22 Tecuci G,Boicu M,Marcu D,etal.Cognitive assistants for analysts[EB/OL].http://lac.gmu.edu/publications/2007/TecuciG_Cognitive_Assistants.pdf,2018-03-04.
23吴晨生,李辉,付宏,等.情报服务迈向3.0时代[J].情报理论与实践,2015,38(9):1-7.
24张晓翊,张玉峰.基于Multi-Agent的竞争情报智能采集模型研究[J].情报科学,2006,24(12):1776-1781.
25漆桂林,高桓,吴天星.知识图谱研究进展[J].情报工程,2017,3(1):4-25.
26吴运兵,杨帆,赖国华,等.知识图谱学习和推理研究进展[J].小型微型计算机系统,2016,37(9):2007-2013.
27徐增林,盛泳潘,贺丽荣,等.知识图谱技术综述[J].电子科技大学学报,2016,45(4):589-606.
28余波,温亮明,张妍妍.大数据环境下情报研究方法论体系研究[J].情报科学,2016,34(9):7-12.
29化柏林.网络海量信息环境下的情报方法体系研究[J].情报理论与实践,2012,35(11):1-5.
30李超,周瑛,周焕.大数据环境下情报分析方法与情报分析软件探讨[J].现代情报,2017,37(7):151-158.
31张玉峰,何超.基于数据挖掘的企业竞争情报分析研究[J].情报学报,2012,31(1):65-71.
32江洪,钟永恒,於维樱.产业技术分析服务:专业图书馆新的探索与实践[J].图书情报工作,2013,(7):40-44.