基于语义Web Service的竞争情报系统构建研究
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摘要
随着我国信息化进程的加快,人们渐渐意识到了竞争情报的巨大经济价值。CIS的建设也已经成为各企业的战略举措。然而,随着各类信息的指数化增长,传统的CIS的缺陷日益突出,不能适应企业发展的需要,迫切要求新的技术与方法应用于CIS,从方方面面重塑CIS。语义Web Service技术的兴起和发展为竞争情系统的发展提供了新的动力。
本文首先阐明了本文的选题背景,并对国内外语义Web Service的起源、研究进展、应用现状及其与竞争情报系统的结合做了详细的介绍。
然后,本文详细阐述了语义Web Service技术。首先对语义Web Service进行了大致的说明,然后剖析了语义Web Service的整体结构,包括Web Service、语义Web、Web Service本体语言owl-s、相关标准协议及技术(SOAP、WSDL、OLE、Ontology),这为本文的深入研究奠定了技术基础。
接着,本文介绍了CIS的一般性结构,对CIS的三大系统CIS搜集子系统、CIS分析子系统、CIS服务子系统的定义、基本职能做了简单说明,并以图示的形式阐析了三大子系统的业务数据流程。本章是下一步构建CIS整体模型的铺垫性陈述。
在上述研究的基础上,本文进入主体部分。该章节笔者通过对功能三要素横向/竖向递进型、部门四要素横向/竖向递进型、过程四要素正圆/椭圆循环型三种建模模式的比较,确定了以功能三要素横向/竖向递进型模式为中心的建模总基调。在模型中本文充分发挥语义Web Service技术,对CIS整体模型进行集成,触发其业务的重组、数据流程再造。最后,本文从技术、经济、人文的角度对模型做出客观评价。
本文进一步阐述了CIS整体模型的技术实现。本章节笔者在指出传统搜索引擎对Deep Web资源的不作为的基础上,建立了基于语义Web Service的动态Deep Web的情报挖掘技术方案。而在CIS服务子系统中,笔者引入基于语义Web Service的发现匹配算法、概念相似度算法建立CI查询技术方案,并用倒排文档技术对该技术方案进行优化处理,提高查询速度。
最后,本文做了一个总结性的陈述,并展望了语义Web Service的应用前景和CIS的发展趋势。
With the acceleration of the process of information, people gradually realized the great economic value of the competitive intelligence. CIS also has become the construction of the strategic initiatives of the enterprises. However, with the index growth of all types of information, the traditional shortcomings of CIS increasingly become prominent, and can not meet the needs of enterprise development. There is an urgent demand that the new technology and methods be used in the CIS, all aspects of remodeling CIS. The emergence and development of Semantic Web Service provide CIS a new power.
In this paper, this paper sets out the background of the subjects, both at home and abroad, the origin of the Semantic Web Service, research progress, the application of the status, its relationship with the combination of competitive intelligence system, and gives a detailed introduction.
And, the paper elaborated on the Semantic Web Service technology. First of all, we give the Semantic Web Service a general description, and then analyze the semantic structure of Web Service as a whole, including the Web Service, Semantic Web, Web Service ontology language owl-s, protocol and technology-related standards (SOAP, WSDL, OLE, Ontology). This has laid the foundation of in-depth study of this paper.
Then, This article describes the general structure of the CIS, and shows the CIS collect subsystem, CIS analysis subsystem, CIS Services subsystem for the basic definition , functions ,and gives a simple description and interpretation of the form of icons of the three major sub-system flow of business data. This chapter is the bedding of the next step to build the overall model of CIS statements.
At the basis of the above-mentioned study, to enter the main part of this article, the author of the chapter compare three of the functional elements of the horizontal/ vertical sliding type, four elements of the horizontal Department/vertical sliding type, four elements of the process of circle/oval circle-type three Modeling of the comparison model to determine the function of the three elements of a horizontal/ vertical progressive model-centric modeling the overall tone. In this paper, the overall model of the CIS integration trigger the reorganization of its operations, data flow and recycling. Finally, this article from the technical, economic, and humanistic point makes an objective evaluation of the model.
Furthermore, this article elaborates on the overall model of CIS technology. At this section the author points out that traditional search engines on the Deep Web resources are incompetent, and establishes the dynamics of the Deep Web information mining technology program based on Semantic Web Service. For Services subsystem in the CIS, by the introduction of the found matching algorithm, the concept of similarity query algorithm, the author sets up CI technology program, and makes use of the inverted file technology solutions to optimize treatment in order to improve query speed.
Finally, we make a summary statement, and look forward to the Semantic Web Service applications and the development trend of CIS.
本文首先阐明了本文的选题背景,并对国内外语义Web Service的起源、研究进展、应用现状及其与竞争情报系统的结合做了详细的介绍。
然后,本文详细阐述了语义Web Service技术。首先对语义Web Service进行了大致的说明,然后剖析了语义Web Service的整体结构,包括Web Service、语义Web、Web Service本体语言owl-s、相关标准协议及技术(SOAP、WSDL、OLE、Ontology),这为本文的深入研究奠定了技术基础。
接着,本文介绍了CIS的一般性结构,对CIS的三大系统CIS搜集子系统、CIS分析子系统、CIS服务子系统的定义、基本职能做了简单说明,并以图示的形式阐析了三大子系统的业务数据流程。本章是下一步构建CIS整体模型的铺垫性陈述。
在上述研究的基础上,本文进入主体部分。该章节笔者通过对功能三要素横向/竖向递进型、部门四要素横向/竖向递进型、过程四要素正圆/椭圆循环型三种建模模式的比较,确定了以功能三要素横向/竖向递进型模式为中心的建模总基调。在模型中本文充分发挥语义Web Service技术,对CIS整体模型进行集成,触发其业务的重组、数据流程再造。最后,本文从技术、经济、人文的角度对模型做出客观评价。
本文进一步阐述了CIS整体模型的技术实现。本章节笔者在指出传统搜索引擎对Deep Web资源的不作为的基础上,建立了基于语义Web Service的动态Deep Web的情报挖掘技术方案。而在CIS服务子系统中,笔者引入基于语义Web Service的发现匹配算法、概念相似度算法建立CI查询技术方案,并用倒排文档技术对该技术方案进行优化处理,提高查询速度。
最后,本文做了一个总结性的陈述,并展望了语义Web Service的应用前景和CIS的发展趋势。
With the acceleration of the process of information, people gradually realized the great economic value of the competitive intelligence. CIS also has become the construction of the strategic initiatives of the enterprises. However, with the index growth of all types of information, the traditional shortcomings of CIS increasingly become prominent, and can not meet the needs of enterprise development. There is an urgent demand that the new technology and methods be used in the CIS, all aspects of remodeling CIS. The emergence and development of Semantic Web Service provide CIS a new power.
In this paper, this paper sets out the background of the subjects, both at home and abroad, the origin of the Semantic Web Service, research progress, the application of the status, its relationship with the combination of competitive intelligence system, and gives a detailed introduction.
And, the paper elaborated on the Semantic Web Service technology. First of all, we give the Semantic Web Service a general description, and then analyze the semantic structure of Web Service as a whole, including the Web Service, Semantic Web, Web Service ontology language owl-s, protocol and technology-related standards (SOAP, WSDL, OLE, Ontology). This has laid the foundation of in-depth study of this paper.
Then, This article describes the general structure of the CIS, and shows the CIS collect subsystem, CIS analysis subsystem, CIS Services subsystem for the basic definition , functions ,and gives a simple description and interpretation of the form of icons of the three major sub-system flow of business data. This chapter is the bedding of the next step to build the overall model of CIS statements.
At the basis of the above-mentioned study, to enter the main part of this article, the author of the chapter compare three of the functional elements of the horizontal/ vertical sliding type, four elements of the horizontal Department/vertical sliding type, four elements of the process of circle/oval circle-type three Modeling of the comparison model to determine the function of the three elements of a horizontal/ vertical progressive model-centric modeling the overall tone. In this paper, the overall model of the CIS integration trigger the reorganization of its operations, data flow and recycling. Finally, this article from the technical, economic, and humanistic point makes an objective evaluation of the model.
Furthermore, this article elaborates on the overall model of CIS technology. At this section the author points out that traditional search engines on the Deep Web resources are incompetent, and establishes the dynamics of the Deep Web information mining technology program based on Semantic Web Service. For Services subsystem in the CIS, by the introduction of the found matching algorithm, the concept of similarity query algorithm, the author sets up CI technology program, and makes use of the inverted file technology solutions to optimize treatment in order to improve query speed.
Finally, we make a summary statement, and look forward to the Semantic Web Service applications and the development trend of CIS.
引文
[1]何兆雄.新编语用学概要[M].上海:上海外语教育出版社,2000.
[2]何自然.语用学概论[M].湖南:湖南教育出版社,1997.
[3]薛建辉等.基于语义Web的知识管理系统的研究[J].北京工商大学学报,2007,25(1):59-61.
[4]黄晓斌.试论新环境下我国竞争情报工作的发展方向[J].情报科学,2000,(1):121-124.
[5]Urvi Shah,Tim Finin,Anupam Joshi,Scott Cost R,JamesMayfield.In2formation Retrieval on the Semantic Web[C].CIKMp02,November 429,2002,McLean,Virginia,USA.
[6]满君丰等.语义Web服务框架模型研究[J].计算机集成制造系统,2005,(10):45-47.
[7]Daniel E Rose,Danny Levinson.Understanding user goalsin Web search[C]//WWW 2004.USA,New York,2004.
[8]W3C.SOAP Version 1.2[EB/OL].(2003-7-30)[2006-10-25].
[9]UDDI.The UDDI Technical While Paper[EB/OL].(2009-9-6)[2006-09-18].
[10]Tversky A.Features of similarity[J].Psychological Review,1977,84(4):327-352.
[11]The Eighth Text Retrieval Conference,TREC28,1999:4452452.
[12]Aldo de Moor,Willem-Jan van den Heuvel.Web Serviceselection in virtual communities[C]//Proceedings of the 37th Hawaii International Conference on System Sciences.Netherlands:Tibury University,2004.
[13]胡鹤等.Web本体语言 OWL[J].计算机工程,2004,(6):1-3.
[14]W3C.Web Services.(2002-10)[2005-7-14].http//www.w3.org/2002/ws.
[15]T.R.Gruber“A translation approach to portable ontonlogy specification”[M].Knowledge Acquisition,Vol.5,No.2,pp199-220,1993.
[16]Chao-Min Chiu.Towards a Hypermedia-enabled and Web-based Data Analysis Framework[J].Journal of Information Science.2004,(1):121-125.
[17]Kopena J,Regli W.DAMLJessKB:A tool for reasoning with the Seman2ticWeb[M].IEEE intelligent System18(3),May/June,2003.
[18]岳剑波.信息管理基础[M].北京:清华大学出版社,1999.
[19]李宇军等.竞争性情报[M].北京:中国物价出版社,2002.
[20]包昌火等.竞争对手分析论纲[J].情报学报,2003,(2):89-92.
[21]王学东.图书情报管理学概论[M].中国商业出版社,1990.
[22]谢新洲等.企业竞争情报系统的功能[J].图书情报工作,2002,(8):75-78.
[23]李萱格等.企业竞争情报系统(CIS)模型新探(J).图书与情报,2008,(6):75-78.
[24]高春玲.论现代企业竞争情报系统的构建与运作[D].华东师范大学,2004.
[25]陈小芳.基于数据仓库的企业竞争情报系统应用研究[D].合肥工业大学,2008.
[26]Pamela Cobb.Competitive Intelligence Through Data Mining[J].Journal of Competitive Intelligence and Management,2003,(3):32-36.
[27]李国红等.企业竞争情报与反竞争情报研究[J].情报科学,2001,(10):92-95.
[28]曹君祥.竞争情报计算机辅助系统研究[D].南开大学硕士论文,1997.
[29]Prescott C Ensign.Innovation in the Multinational Firm with Globally Dispersed R &D:Technological Knowledge Utilization and Accumulation[J].The Journal of High Technology Management Research,2005,(2):217.
[30]苏新宁等.数据挖掘理论与技术[M].北京:科学文献出版社,2003.
[31]陈京民等.数据仓库与数据挖掘技术[M].北京:电子工业出版社,2002.
[32]Aldo de Moor.Patterns for the pragmatic Web[C]//Invited paper,Proc.of the 13th International Conference on Conceptual Structures(ICCS 2005).Germany,Berlin:Springer Verlag,2005:1-18.
[33]Cristiano Rocha,Daniel Schwabe,Marcus Poggi de Aragao.A Hybrid App roach for Searching in the Semantic Web[J].WWW2004,May 17222,2004,New York,USA.
[34]石磊.语义Web服务描述框架研究综述[J].计算机技术与发展,2006,16(16):134-136.
[35]李建明.论企业竞争情报系统[J].情报学报,1999,18(6):150-155.
[36]刘细文等.现代企业竞争情报系统的运行模式研究[J].图书情报工作,2001,(1):92-95.
[37]陈峰.企业竞争情报管理系统的构建研究[J].现代图书情报技术,2001,(5):63-65.
[38]蒲群莹.基于数据挖掘的竞争情报系统模型[J].情报技术,2005(1):38-40.
[39]刘高勇等.基于语义Web Service的Deep Web动态竞争情报采集[J].情报杂志,2008,(3):79-81.
[40]Ion J uvina,Herre van Oostendorp.Predicting user prefer2ences-from semantic to pragmatic metrics of Web navi2gation behavior[C].Conference Proceedings Dutch Directions in HCI.USA,2003.
[41]Ding L,Tim Finin,Anupam Joshi,Rong Pan,Scott Cost R,Joel Sachs,Vishal Doshi,Pavan Reddivari,Yun Peng.Swoogle:A Search and Metadata Engine for the Semantic Web[C].Thirteenth ACM Conference on Information and KnowledgeManagement(CIKM'04),Washington DC,November,2004.
[42]吴金红等.面向主题的网络竞争情报采集系统[J].现代图书情报技术,2006,(12):54-57.
[43]尹辉等.语义Web服务匹配算法的研究[J].网络安全,2008(9):42-45.
[44]荣慧媛.基于语义的Web信息查询技术的研究[J].哈尔滨职业技术学院学院学报,2008,(2):121-123.
[45]冯石麟等.基于语义的Web信息检索系统的研究[J].计算机应用,2008,25(5):142-145.
[46]K Niwa.Toward Successful Implementation of Knowledge-based Systems:Expert Systems vs Knowledge Sharing Systems[J].IEEE Transcations on Engineering Management,1990,37(4):277-283.
[47]沈金波.基于社会网络的竞争情报系统的研究[D].华中师范大学,2007.
[48]马德辉.建立学习型竞争情报系统的思考[J].图书情报工作,2003,(2):34-37.
[49]David A Garvin.Building Learing Organizations[J].Harvard Business Review,1993,(7).
[50]John A Byrne.The virtual corporation[J].Business Week,1993,(8):36-41.
[51]白同强.语义Web的研究与展望[J].吉林大学学报,2004,22(2):550-555.
[2]何自然.语用学概论[M].湖南:湖南教育出版社,1997.
[3]薛建辉等.基于语义Web的知识管理系统的研究[J].北京工商大学学报,2007,25(1):59-61.
[4]黄晓斌.试论新环境下我国竞争情报工作的发展方向[J].情报科学,2000,(1):121-124.
[5]Urvi Shah,Tim Finin,Anupam Joshi,Scott Cost R,JamesMayfield.In2formation Retrieval on the Semantic Web[C].CIKMp02,November 429,2002,McLean,Virginia,USA.
[6]满君丰等.语义Web服务框架模型研究[J].计算机集成制造系统,2005,(10):45-47.
[7]Daniel E Rose,Danny Levinson.Understanding user goalsin Web search[C]//WWW 2004.USA,New York,2004.
[8]W3C.SOAP Version 1.2[EB/OL].(2003-7-30)[2006-10-25].
[9]UDDI.The UDDI Technical While Paper[EB/OL].(2009-9-6)[2006-09-18].
[10]Tversky A.Features of similarity[J].Psychological Review,1977,84(4):327-352.
[11]The Eighth Text Retrieval Conference,TREC28,1999:4452452.
[12]Aldo de Moor,Willem-Jan van den Heuvel.Web Serviceselection in virtual communities[C]//Proceedings of the 37th Hawaii International Conference on System Sciences.Netherlands:Tibury University,2004.
[13]胡鹤等.Web本体语言 OWL[J].计算机工程,2004,(6):1-3.
[14]W3C.Web Services.(2002-10)[2005-7-14].http//www.w3.org/2002/ws.
[15]T.R.Gruber“A translation approach to portable ontonlogy specification”[M].Knowledge Acquisition,Vol.5,No.2,pp199-220,1993.
[16]Chao-Min Chiu.Towards a Hypermedia-enabled and Web-based Data Analysis Framework[J].Journal of Information Science.2004,(1):121-125.
[17]Kopena J,Regli W.DAMLJessKB:A tool for reasoning with the Seman2ticWeb[M].IEEE intelligent System18(3),May/June,2003.
[18]岳剑波.信息管理基础[M].北京:清华大学出版社,1999.
[19]李宇军等.竞争性情报[M].北京:中国物价出版社,2002.
[20]包昌火等.竞争对手分析论纲[J].情报学报,2003,(2):89-92.
[21]王学东.图书情报管理学概论[M].中国商业出版社,1990.
[22]谢新洲等.企业竞争情报系统的功能[J].图书情报工作,2002,(8):75-78.
[23]李萱格等.企业竞争情报系统(CIS)模型新探(J).图书与情报,2008,(6):75-78.
[24]高春玲.论现代企业竞争情报系统的构建与运作[D].华东师范大学,2004.
[25]陈小芳.基于数据仓库的企业竞争情报系统应用研究[D].合肥工业大学,2008.
[26]Pamela Cobb.Competitive Intelligence Through Data Mining[J].Journal of Competitive Intelligence and Management,2003,(3):32-36.
[27]李国红等.企业竞争情报与反竞争情报研究[J].情报科学,2001,(10):92-95.
[28]曹君祥.竞争情报计算机辅助系统研究[D].南开大学硕士论文,1997.
[29]Prescott C Ensign.Innovation in the Multinational Firm with Globally Dispersed R &D:Technological Knowledge Utilization and Accumulation[J].The Journal of High Technology Management Research,2005,(2):217.
[30]苏新宁等.数据挖掘理论与技术[M].北京:科学文献出版社,2003.
[31]陈京民等.数据仓库与数据挖掘技术[M].北京:电子工业出版社,2002.
[32]Aldo de Moor.Patterns for the pragmatic Web[C]//Invited paper,Proc.of the 13th International Conference on Conceptual Structures(ICCS 2005).Germany,Berlin:Springer Verlag,2005:1-18.
[33]Cristiano Rocha,Daniel Schwabe,Marcus Poggi de Aragao.A Hybrid App roach for Searching in the Semantic Web[J].WWW2004,May 17222,2004,New York,USA.
[34]石磊.语义Web服务描述框架研究综述[J].计算机技术与发展,2006,16(16):134-136.
[35]李建明.论企业竞争情报系统[J].情报学报,1999,18(6):150-155.
[36]刘细文等.现代企业竞争情报系统的运行模式研究[J].图书情报工作,2001,(1):92-95.
[37]陈峰.企业竞争情报管理系统的构建研究[J].现代图书情报技术,2001,(5):63-65.
[38]蒲群莹.基于数据挖掘的竞争情报系统模型[J].情报技术,2005(1):38-40.
[39]刘高勇等.基于语义Web Service的Deep Web动态竞争情报采集[J].情报杂志,2008,(3):79-81.
[40]Ion J uvina,Herre van Oostendorp.Predicting user prefer2ences-from semantic to pragmatic metrics of Web navi2gation behavior[C].Conference Proceedings Dutch Directions in HCI.USA,2003.
[41]Ding L,Tim Finin,Anupam Joshi,Rong Pan,Scott Cost R,Joel Sachs,Vishal Doshi,Pavan Reddivari,Yun Peng.Swoogle:A Search and Metadata Engine for the Semantic Web[C].Thirteenth ACM Conference on Information and KnowledgeManagement(CIKM'04),Washington DC,November,2004.
[42]吴金红等.面向主题的网络竞争情报采集系统[J].现代图书情报技术,2006,(12):54-57.
[43]尹辉等.语义Web服务匹配算法的研究[J].网络安全,2008(9):42-45.
[44]荣慧媛.基于语义的Web信息查询技术的研究[J].哈尔滨职业技术学院学院学报,2008,(2):121-123.
[45]冯石麟等.基于语义的Web信息检索系统的研究[J].计算机应用,2008,25(5):142-145.
[46]K Niwa.Toward Successful Implementation of Knowledge-based Systems:Expert Systems vs Knowledge Sharing Systems[J].IEEE Transcations on Engineering Management,1990,37(4):277-283.
[47]沈金波.基于社会网络的竞争情报系统的研究[D].华中师范大学,2007.
[48]马德辉.建立学习型竞争情报系统的思考[J].图书情报工作,2003,(2):34-37.
[49]David A Garvin.Building Learing Organizations[J].Harvard Business Review,1993,(7).
[50]John A Byrne.The virtual corporation[J].Business Week,1993,(8):36-41.
[51]白同强.语义Web的研究与展望[J].吉林大学学报,2004,22(2):550-555.