集群式供应链环境下企业互操作若干问题研究
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摘要
在经济全球化环境下,企业不再是孤立的个体,传统的企业与企业之间的竞争也逐渐演变为以企业为中心的供应链之间的竞争,企业迫切需要与上下游的企业开展业务协作来实现资源共享与优势互补,从而提高自身竞争力。这种现象在集群式供应链环境下尤为突出。集群式供应链是产业集群和供应链相互耦合形成的一种供应链形态,区域内的企业普遍存在及时共享协作信息、有效整合企业外部资源以及高效开展业务协作的需求。在集群式供应链环境下,中小企业数量众多,组织网络结构相当复杂,不同的企业在信息系统、产品结构、业务流程、决策方法等方面均存在着很大的差异,使不同企业的系统在交互过程中存在各种各样的障碍和冲突,而传统的企业应用集成、供应链集成等方法并没有针对集群式供应链环境下的各种冲突给出统一的消除方法。如何从更大的范围以及更有效地消除上述冲突,通过系统的有效交互实现高效的业务协作,是集群式供应链环境下企业互操作需要重点解决的问题。
     本文在国家863计划目标导向类项目“面向块状经济区域集群式供应链的服务支持技术及其平台研发与应用”,浙江省重点创新团队建设项目等相关课题的研究支持下,围绕集群式供应链环境下企业互操作过程中存在的多个层次上的语义冲突以及跨企业业务流程协同问题进行研究,主要开展的工作包括:
     1)提出一种面向集群式供应链的基于语义的企业互操作方法
     形成一个集群式供应链的业务协同层次框架,基于典型的集群式供应链的业务协作场景对企业互操作过程中存在的障碍进行深入分析,给出面向集群式供应链的企业互操作框架。考虑到现有的互操作研究在该框架下的局限性,提出一种面向集群式供应链的基于语义的企业互操作方法,以本体系统为支撑,对企业互操作的不同层次分别进行建模,各部分有机关联,基于不同映射场景进行本体之间的映射,消除各个层次上的语义偏差和冲突,在此基础上给出实现集群式供应链各个层次企业互操作的完整方法。
     2)构建一个支持集群式供应链企业互操作的本体系统,并提出适合于集群式供应链场景的本体构建方法
     分析集群式供应链场景下企业互操作的方式,基于此提出本体系统的集成方式,即多个本体以混合方式组织:企业业务协作本体将企业内的知识显示的描述出来,协作共享本体对业务协作涉及的各种知识提供统一、规范的描述,实现不同企业共同理解和知识重用。考虑集群式供应链中企业的实际情况和可用的数据源,提出基于本体学习的企业协作本体快速构建方法;结合集群式供应链的特征与类型,提出一种基于多层分步协调机制的协作共享本体构建方法。
     3)提出一种本体驱动的集群式供应链语义冲突消解方法
     由于集群式供应链中不同企业本体之间存在着多种类型、不同形式的语义冲突,提出一种本体驱动的企业互操作语义冲突消解方法;针对集群式供应链中不同企业本体之间的差异性,基于四个维度对本体特征进行描述,突出与本体主要特征相对应的映射策略在映射结果中的贡献值,从而提高本体映射的质量;以协作共享本体作为背景知识,消除本体映射过程中产生的错误匹配,基于映射场景挖掘企业协作本体之间隐含的新映射对;通过共享区域语义冲突消解规则,实现知识的重用,突破只能解决1:1形式语义映射的局限。
     4)提出一种基于视图匹配的跨企业流程协同方法
     集群式供应链环境下企业互操作需要重点解决不同企业流程之间的可控安全共享以及同步问题,提出一种基于视图匹配的跨企业业务流程协同方法。通过业务流程的虚拟化,企业可以有选择的隐藏企业内部业务流程的细节,形成面向不同合作伙伴的协作视图,减少了企业内部流程的动态变化对业务协作造成的影响,提高了跨企业业务流程的稳定性和灵活性;通过对协作视图的业务语义和变迁过程两步匹配,结合协作场景判断协作企业流程之间的兼容性;在流程互连的基础上,通过应用的服务化以及服务的动态组合实现了跨企业业务流程协同。
     本文研究的成果集中体现在集群式供应链企业互操作原型系统中,通过系统的应用验证了本文的思路及研究方法的可行性。
In the global economic environment, companies are no longer isolated individuals. As a part of the supply chain, enterprises cooperate with others frequently, to improve their competitiveness through integrating resources inside and outside the enterprise effectively, especially in the Cluster Supply Chain (CSC). Cluster supply chain is a kind of supply chain coupling with the industrial cluster, enterprises within this region are in urgent need to promote the efficiency of business cooperation by means of system interoperation, which is now seriously impeded by the high heterogeneity of the product structure, organization structure and business processes among different enterprises. Although supply chain system integration is studied by many scholars, due to the highly heterogeneity of the enterprise information systems and the diversity and dynamics of enterprise models, supply chain system integration becomes more and more complex, especially in the environment of cluster supply chain which consists of large amount of SMEs and the otherness of enterprises more obvious differences between different enterprises and systems, it is more urgent to realize in-time information sharing and effective business collaboration by system interaction and integration among the enterprises.
     This paper is supported by the national863project "the block-economy oriented research on service support technology and platform for cluster supply chain", key innovative team building project of Zhejiang province and other related research projects. Aiming at the problems in the environment of cluster supply chain such as grammatical and semantic heterogeneity and cross enterprise process collaboration, the following work is carried out:
     1) A method of CSC-oriented, semantic-based enterprise interoperability is proposed.
     Taking the characteristics of big amount of SMEs, highly heterogeneity of information systems and the complexity and dynamics of business process under the circumstance of cluster supply chain into consideration, a CSC-oriented enterprise interoperability framework is proposed. Considering the limitation of current research in the aspects of framework, a method of CSC-oriented, semantic-based enterprise interoperability is proposed. The method bases on an ontology system, modeled at different levels of enterprise interoperability and inter-connected closely, resolves conflicts at different levels, after that, an entire methodology is built to realize interoperability at all levels.
     2) An ontology system supporting enterprise interoperability under the environment of CSC is constructed, and feasible methods of ontology building suited to CSC are proposed.
     Ontology is introduced to resolve enterprise semantic conflict problems during business cooperation. Separation of concern rule is obeyed; the ontology system is divided into several parts and organizing the parts according to the interoperable manner among enterprises in CSC. Under the environment of cluster supply chain, in consideration of the complexity of domain knowledge and large amount of SMEs, a fast and effective method of enterprise collaboration ontology building via ontology learning is proposed based on two available data sources. A method of business collaboration shared ontology building is presented based on multistep coordination mechanism, conforming to the characteristics and types of CSC.
     3) An ontology-driven semantic conflict resolving method for CSC is proposed.
     Considering the multiformity of semantic conflicts among different enterprise collaboration ontologies, an ontology-driven semantic conflict resolving method for CSC is proposed. Four dimensions are introduced to describe the characteristics of ontologies against the diversity of the ontologies, and the weights of strategies corresponded with ontology characteristic are dynamically adjusted to optimize the mapping results. Collaboration shared ontology is fully exploited as background knowledge to excavate new mapping pairs hidden in enterprise ontologies and eliminate error mappings under certain mapping scene. The reuse of knowledge is realized through sharing conflicts resolution from different enterprises.
     4) Inter-enterprise process collaboration method based on view match is proposed.
     The process of Inter-enterprise process collaboration in the environment of cluster supply chain is quite complicated. Not only should the distributives, privacy, heterogeneity of enterprises, but also dynamics and mismatching of business process be considered. In view of the problems above, an inter-enterprise process collaboration method based on view matching is presented. This approach is business-driven which conduct business collaboration modeling according to SCOR model and existing process library of the enterprise, and dig out the business cooperation point from the business collaboration model. The business process is modeled by the method of Petri net and abstracted by symbol observation graph to reduce the visibility, and published in collaboration view library. In order to improve the efficiency of business process matching, the process of business process matching is implemented through two steps, business semantic matching and transformation processes matching detection. After transforming the business cooperation point to interoperation point and encapsulating multifarious applications of enterprise into Web services, inter-enterprise integration is realized by services orchestration and combination.
     The research of this paper has been applied to CSCEIPS platform. The effective operation of the platform validates the feasibility of the method.
引文
[1]Jagdev H S, Thoben K D. Anatomy of enterprise collaborations[J]. Production Planning & Control,2001,12(5):437-451.
    [2]黎继子,刘春玲.集群式供应链库存优化与应用[M].中国物资出版社,2007.
    [3]Zhou L, Xu X, Huang T, et al. Supply Chain Management System and Interoperability through EAI Platform[J]. Enterprise Interoperability, 2007:441-450.
    [4]Farinha F, Gon C C Alves R J, Gar C C A O A S. Integration of cooperative production and distributed design in AEC[J]. Advances in Engineering Software, 2007,38(11):772-779.
    [5]Consoni Florenzano Souza M, Sacco M, Vieira Porto A J. Virtual manufacturing as a way for the Factory of the Future. Special issue on E-Manufacturing and web-based technology for intelligent manufacturing and networked enterprise interoperability[J]. Journal of Intelligent Manufacturing, 2006,17(6).
    [6]Porter M. Cluster and the New Economics of Competition. Harvard Business Review, Nov-Dec[J].1998.
    [7]Humphrey J, Schmitz H. How does insertion in global value chains affect upgrading in industrial clusters?[J]. Regional studies,2002,36(9):1017-1027.
    [8]魏江,周泯非.产业集群治理:理论来源、概念与机制[J].管理学家:学术版,2009(6):50-59.
    [9]葛昌跃,顾新建,韩永生.企业集群中的供应链网研究[J].制造业自动化,2003,25(10):1-4,23.
    [10]黎继子,刘春玲.集群式供应链的界定和表征研究[J].软科学,2006(5):4-8.
    [11]Vargas A, Boza A, Cuenca L. Towards interoperability through inter-enterprise collaboration architectures,2011 [C].
    [12]Carney D J, Smith J I I, Place P R. Topics in interoperability: Infrastructure replacement in a system of systems[J].2005.
    [13]Buehler K, McKee L, Open G. The OpenGIS Guide: Introduction to Interoperable Geoprocessing:Part I of the Open Geodata Interoperability Specification (OGIS)[M]. Open GIS Consortium, Incorporated,1996.
    [14]Nationale Du Qu E Bee B. This publication was written by:Azim Mandjee et Philippe Brouste Advisers on French adaptation of information technology Direction g{\'e}n{\'e}rale de la francisation et du traitement des plaintes Office qu{\'e}b{\'e}cois de la langue fran{\c{c}aise[J].
    [15]Pollock J T, Hodgson R. Adaptive Information:Improving Business Through Semantic Interoperability[J]. Grid Computing, and Enterprise Integration (Wiley Series in Systems Engineering and Management), Wiley-Interscience,2004.
    [16]Geraci A, Katki F, McMonegal L, et al. IEEE Standard Computer Dictionary: Compilation of IEEE Standard Computer Glossaries[J].1991.
    [17]MATSUDA M, ARAI E, NAKANO N. Manufacturing Software Capability Profiling for Interoperability.[J]. Nihon Kikai Gakkai Nenji Taikai Koen Ronbunshu,2002,5:377-378.
    [18]Moxley F I, Simon L, Wells E J. Laying the Foundation for Coalition Interoperability through NATO's C3 Technical Architecture[R].DTIC Document, 2000.
    [19]Ruggaber R. ATHENA-advanced technologies for interoperability of heterogeneous enterprise networks and their applications[J]. Konstantas, D., Bourrieres J.-P., Leonard, M., Boudjlida, N.:Interoperability of Enterprise Software and Applications. London, Springer,2006:459-460.
    [20]Pollock J T, Hodgson R. Adaptive Information:Improving Business Through Semantic Interoperability[J]. Grid Computing, and Enterprise Integration (Wiley Series in Systems Engineering and Management), Wiley-Interscience,2004.
    [21]FP IST A.507849--" Advanced Technologies for Interoperability of Heterogeneous Enterprise Networks and their Applications" [Z].
    [22]Di X F, Fan Y S. Implementation of enterprises'interoperation based on ontology[J]. International Journal of Automation and Computing, 2010,7(3):303-309.
    [23]Facca F M, Komazec S, Guglielmina C, et al. COIN:Platform and Services for SaaS in Enterprise Interoperability and Enterprise Collaboration,2009[C].
    [24]Panetto H, Berio G, Benali K, et al. A unified enterprise modelling language for enhanced interoperability of enterprise models,2004[C].
    [25]Stirna J, Persson A, Sandkuhl K. Participative enterprise modeling: experiences and recommendations,2007[C].
    [26]Canavesio M M, Martinez E. Enterprise modeling of a project-oriented fractal company for SMEs networking[J]. Computers in Industry,2007,58(8):794-813.
    [27]Ram S, Ramesh V. Schema Integration:Past, Present, and Future[J]. Management of Heterogeneous and Autonomous Database Systems, 1999:119-155.
    [28]Ouksel A M, Klusch M. A framework for a scalable agent architecture of cooperating heterogeneous knowledge sources[J]. Intelligent information agents, 1999:100-124.
    [29]Genesereth M R, Keller A M, Duschka O M. Infomaster:An information integration system[J]. ACM SIGMOD Record,1997,26(2):539-542.
    [30]Lakshmanan L V S, Sadri F, Subramanian I N. Logic and algebraic languages for interoperability in multidatabase systems [J]. The Journal of Logic Programming,1997,33(2):101-149.
    [31]Cruz I F, Xiao H. Using a layered approach for interoperability on the Semantic Web,2003[C].
    [32]Yang Q Z, Zhang Y. Semantic interoperability in building design:Methods and tools[J]. Computer-Aided Design,2006,38(10):1099-1112.
    [33]Erl T. Service-oriented architecture[M]. Prentice Hall,2004.
    [34]Group C I A W, Others. Levels of information systems interoperability (LISI)[J]. March,1998,30:1998.
    [35]Morse K L, Tolk A, Pullen J M, et al. XMSF as an Enabler for NATO M&S, 2004[C].
    [36]Consortium I, Others. Thematic Network, IDEAS Interoperability Development for Enterprise Application and Software Roadmaps[J]. Annex 1--Description of work,2002.
    [37]Guijarro L. Interoperability frameworks and enterprise architectures in e-government initiatives in Europe and the United States[J]. Government Information Quarterly,2007,24(1):89-101.
    [38]Chen D. Enterprise Interoperability Framework[Z].
    [39]Hughes G. A Guide to Interoperability for Regional Initiatives[J]. Brussels, Belgium:eris@ European Regional Information Society Association,2004.
    [40]Chen D, Jardim-Gon C C Alves R, Nu N Ez M J. Advanced technologies for interoperability of heterogeneous enterprise networks and their applications[J]. 2004.
    [41]Meca A, Timmer J B. Supply chain collaboration[J].2007.
    [42]Stank T P, Keller S B, Daugherty P J. Supply chain collaboration and logistical service performance[J]. Journal of Business logistics,2011,22(1):29-48.
    [43]Simatupang T M, Sridharan R. Design for supply chain collaboration[J]. Business Process Management Journal,2008,14(3):401-418.
    [44]Vernadat F B. Technical, semantic and organizational issues of enterprise interoperability and networking[J]. Annual Reviews in Control, 2010,34(1):139-144.
    [45]Berre A, Elves Ae Ter B, Figay N, et al. The athena interoperability framework[J]. Enterprise Interoperability Ⅱ,2007:569-580.
    [46]Opdahl A L, Berio G. Interoperable language and model management using the UEML approach,2006 [C].
    [47]Gruninger M, Menzel C. The process specification language (PSL) theory and applications[J]. AI magazine,2003,24(3):63.
    [48]Liu N, Li X. A Resource Virtualization Mechanism for Cloud Manufacturing Systems[J]. Enterprise Interoperability,2012:46-59.
    [49]McGuinness D L, Van Harmelen F, Others. OWL web ontology language overview[J]. W3C recommendation,2004,10(2004-03):10.
    [50]Ducq Y, Chen D, Doumeingts G. A contribution of system theory to sustainable enterprise interoperability science base[J]. Computers in Industry, 2012.
    [51]Studer R, Benjamins V R, Fensel D. Knowledge engineering:principles and methods[J]. Data & knowledge engineering,1998,25(1):161-197.
    [52]Sure Y, Staab S, Studer R. Methodology for development and employment of ontology based knowledge management applications[J]. ACM SIGMOD Record, 2002,31(4):18-23.
    [53]Stumme G, Ehrig M, Handschuh S, et al. The Karlsruhe view on ontologies[J]. University of Karlsruhe, Institute AIFB,2003.
    [54]高鹏,林兰芬,蔡铭,等.基于本体映射的产品配置模型自动获取[J].计算机集成制造系统,2003,9(9):810-816.
    [55]Naing M M, Lim E P, Goh D H L. Ontology-based web annotation framework for hyperlink structures.[J].2010.
    [56]Gruber T. What is an Ontology[J]. Encyclopedia of Database Systems, 2008,1.
    [57]楼轶超.跨领域异构产品模型语义集成的若干基础问题研究[D].浙江大学,2009.
    [58]Gensereth M, Fikes R. Knowledge interchange format[J]. Computer Science Department, Stanford University, Stanford, USA, Technical Report, Logic-92-1, 1992.
    [59]Lenat D B, Guha R V. The evolution of CycL, the Cyc representation language[J]. ACM SIGART Bulletin,1991,2(3):84-87.
    [60]Ling L, Hu Y, Wang X, et al. An ontology-based method for knowledge integration in a collaborative design environment[J]. The International Journal of Advanced Manufacturing Technology,2007,34(9):843-856.
    [61]Kifer M, Lausen G, Wu J. Logical foundations of object-oriented and frame-based languages[J]. Journal of the ACM (JACM),1995,42(4):741-843.
    [62]TEMPICH C. A methodology for ontology learning[J]. Ontology Learning and Population:Bridging the Gap between Text and Knowledge,2008,167:225.
    [63]Gruber T R, Others. Toward principles for the design of ontologies used for knowledge sharing[J].International journal of human computer studies, 1995,43(5):907-928.
    [64]Uschold M, Gruninger M, Others. Ontologies:Principles, methods and applications[J]. Knowledge engineering review,1996,11(2):93-136.
    [65]Fellbaum C. WordNet[J].Theory and Applications of Ontology:Computer Applications,2010:231-243.
    [66]Gr U Ingger M, Fox M S. Methodology for the design and evaluation of ontologies,1995[C].
    [67]Noy N F, Sintek M, Decker S, et al. Creating semantic web contents with protege-2000[J]. Intelligent Systems, IEEE,2001,16(2):60-71.
    [68]Fern A Ndez M, G O Mez-P E Rez A, JURISTO H. Methontology; from ontological art towards ontological engineering (1997)[J]. Available from Internet:. Access,2005,20.
    [69]邓志鸿,唐世渭,张铭,等.Ontology研究综述[J].北京大学学报(自然科学版),2002,38(5):730-738.
    [70]Maedche A, Staab S. Ontology learning for the semantic web[J]. Intelligent Systems, IEEE,2001,16(2):72-79.
    [71]Shamsfard M, Barforoush A A. Learning ontologies from natural language texts[J], International Journal of Human-Computer Studies,2004,60(1):17-63.
    [72]Mao M, Peng Y, Spring M. Ontology mapping:as a binary classification problem[J]. Concurrency and Computation:Practice and Experience, 2011,23(9):1010-1025.
    [73]Yoo S B, Kim Y. Web-based knowledge management for sharing product data in virtual enterprises[J]. International Journal of Production Economics, 2002,75(1):173-183.
    [74]Lee J, Chae H, Kim C H, et al. Design of product ontology architecture for collaborative enterprises[J]. Expert Systems with Applications, 2009,36(2):2300-2309.
    [75]Osterwalder A. The Business Model Ontology: a proposition in a design science approach[J]. Institut d'Informatique et Organisation. Lausanne, Switzerland, University of Lausanne, Ecole des Hautes Etudes Commerciales HEC,2004,173.
    [76]Hepp M, Roman D, Others. An ontology framework for semantic business process management[J]. Proceedings of Wirtschaftsinformatik,2007,2007.
    [77]De Nicola A, Missikoff M, Navigli R. A software engineering approach to ontology building[J]. Information Systems,2009,34(2):258-275.
    [78]Gawich M, Badr A, Hegazy A, et al. A Methodology for Ontology Building[J]. International Journal,2012,56.
    [79]Cullot N, Parent C, Spaccapietra S, et al. Ontologies:A contribution to the DL/DB debate,2003 [C].
    [80]Lubyte L, Tessaris S. Extracting ontologies from relational databases, 2007[C].
    [81]Upadhyaya S R, Kumar P S. Eronto:a tool for extracting ontologies from extended e/r diagrams,2005 [C].
    [82]Konstantinou N, Spanos D, Chalas M, et al. VisAVis:An approach to an intermediate layer between ontologies and relational database contents,2006[C].
    [83]Han J, Jeong Y K, Lee I. Efficient building energy management system based on ontology, inference rules, and simulation,2011[C].
    [84]Zhang X, Hu B, Moore P, et al. Emotiono:An Ontology with Rule-Based Reasoning for Emotion Recognition,2011[C].
    [85]Ferdinand M, Zirpins C, Trastour D. Lifting xml schema to owl[J]. Web Engineering,2004:776-777.
    [86]Randal] D, Procter R, Lin Y, et al. Distributed ontology building as practical work[J]. International journal of human-computer studies,2011,69(4):220-233.
    [87]Shvaiko P, Euzenat J. Tutorial on ontology matching[Z].2006.
    [88]Rahm E, Bernstein P A. A survey of approaches to automatic schema matching[J]. the VLDB Journal,2001,10(4):334-350.
    [89]Calvanese D, De Giacomo G, Lenzerini M, et al. Description logic framework for information integration,1998[C].
    [90]Doan A H, Domingos P, Halevy A Y. Reconciling schemas of disparate data sources:A machine-learning approach,2001 [C].
    [91]Kalfoglou Y, Schorlemmer M. Ontology mapping:the state of the art[J]. The knowledge engineering review,2003,18(1):1-31.
    [92]Wache H, Voegele T, Visser U, et al. Ontology-based integration of information-a survey of existing approaches,2001 [C].
    [93]Birukou A. A survey of existing approaches for pattern search and selection, 2010[C].
    [94]Noy N F. Semantic integration:a survey of ontology-based approaches[J]. SIGMOD record,2004,33(4):65-70.
    [95]Nasir S A M, Noor N L M. Development of ontology through different advances of ontology mapping,2012[C].
    [96]Euzenat J, Le Bach T, Barrasa J, et al. State of the art on ontology alignment[J]. Knowledge Web Deliverable D,2004,2:2-3.
    [97]de Bruijn J, Martin-Recuerda F, Manov D, et al. State-of-the-art survey on Ontology Merging and Aligning V1 [J]. Deliverable D2,2004,4.
    [98]Noy N F. Semantic integration:a survey of ontology-based approaches [J]. SIGMOD record,2004,33(4):65-70.
    [99]Cohen W, Ravikumar P, Fienberg S. A Comparison of String Metrics for Matching Names and Records in KDD Workshop on Data Cleaning and Object Consolidation[J].2003.
    [100]Stoilos G, Stamou G, Kollias S. A string metric for ontology alignment[J]. The Semantic Web-ISWC 2005,2005:624-637.
    [101]van Hage W, Katrenko S, Schreiber G. A method to combine linguistic ontology-mapping techniques[J]. The Semantic Web--ISWC 2005,2005:732-744.
    [102]Berlin J, Motro A. Database schema matching using machine learning with feature selection,2006[C].
    [103]Li W S, Clifton C. Semantic integration in heterogeneous databases using neural networks,1994[C].
    [104]Wang S. An Empirical Study of Instance-Based Ontology Matching,2008[C].
    [105]Kotis K, Vouros G. The HCONE approach to ontology merging[J]. The Semantic Web:Research and Applications,2004:137-151.
    [106]Giunchiglia F, Yatskevich M, Giunchiglia E. Efficient semantic matching[J]. The Semantic Web:Research and Applications,2005:67-90.
    [107]Giunchiglia F, Yatskevich M, Shvaiko P. Semantic matching:Algorithms and implementation[J]. Journal on Data Semantics IX,2007:1-38.
    [108]Euzenat J, Shvaiko P. Ontology matching[M]. Springer Berlin,2007.
    [109]Huang L, Hu G, Yang X. Review of ontology mapping,2012 [C].
    [110]Klein M. Combining and relating ontologies:an analysis of problems and solutions,2001 [C].
    [111]Sowa J F. Building, sharing, and merging ontologies[J]. web site:http://www. jfsowa. com/ontology/ontoshar. htm,2001.
    [112]Euzenat J, Mocan A, Scharffe F. Ontology alignments[J]. Ontology Management,2008:177-206.
    [113]Udrea O, Getoor L, Miller R J. Leveraging data and structure in ontology integration,2007 [C].
    [114]Kshirsagar S. A multilayer personality model,2002[C].
    [115]Meilicke C, Stuckenschmidt H, V S V A B-Zamazal O. A reasoning-based support tool for ontology mapping evaluation[J]. The Semantic Web:Research and Applications,2009:878-882.
    [116]Fellbaum C. WordNet[J]. Theory and Applications of Ontology:Computer Applications,2010:231-243.
    [117]Mochol M, Jentzsch A, Euzenat J. Applying an analytic method for matching approach selection[J]. Ontology Matching,2006,225.
    [118]Wang R, Wang L, Liu L, et al. Combination of the Improved Method for Ontology Mapping[J]. Physics Procedia,2012,25:2167-2172.
    [119]Saruladha K, Aghila G, Raj S. A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval,2010[C].
    [120]ZENG F, XU D, LI P. Self-adapting Ontology Mapping Method[J]. Computer Engineering,2009,17:28.
    [121]Sekine S, Sudo K, Ogino T. Statistical matching of two ontologies,1999[C].
    [122]Jean-Mary Y R, Shironoshita E P, Kabuka M R. Asmov:Results for oaei 2010[J]. Ontology Matching,2010,126.
    [123]Caracciolo C, Euzenat J, Hollink L, et al. Results of the ontology alignment evaluation initiative 2008[J].2008.
    [124]Hu W, Qu Y. Falcon-AO:A practical ontology matching system[J]. Web Semantics:Science, Services and Agents on the World Wide Web, 2008,6(3):237-239.
    [125]Huber S, Carrez C, Suttner H. Development of Innovative Services Enhancing Interoperability in Cross-Organizational Business Processes[J]. Enterprise Interoperability,2011:75-88.
    [126]Chebbi I, Dustdar S, Tata S. The view-based approach to dynamic inter-organizational workflow cooperation[J]. Data & Knowledge Engineering, 2006,56(2):139-173.
    [127]Jing-le Z, Yang Y, Ming Z, et al. Method for Flexible Workflow Modeling Supporting Task Change and Performance Analysis,2009[C].
    [128]Schulz K A, Orlowska M E. Facilitating cross-organisational workflows with a workflow view approach[J]. Data & Knowledge Engineering, 2004,51(1):109-147.
    [129]Sun P, Jiang C. Analysis of workflow dynamic changes based on Petri net[J]. Information and Software Technology,2009,51(2):284-292.
    [130]Rinderle S, Reichert M, Dadam P. Flexible support of team processes by adaptive workflow systems[J]. Distributed and Parallel Databases, 2004,16(1):91-116.
    [131]Yan S, Han Y, Wang J, et al. A user-steering exploratory service composition approach,2008[C].
    [132]Grefen P, Aberer K, Hoffner Y, et al. CrossFlow:Cross-organizational workflow management in dynamic virtual enterprises[J].2000.
    [133]Hilia M, Chibani A, Amirat Y, et al. Cross-Organizational Cooperation Framework for Security Management in Ubiquitous Computing Environment, 2011[C].
    [134]Chebbi I, Dustdar S, Tata S. The view-based approach to dynamic inter-organizational workflow cooperation[J]. Data & Knowledge Engineering, 2006,56(2):139-173.
    [135]Che H, Mevius M, Ju Y, et al. A Method for Inter-organizational Business Process Management,2007[C].
    [136]Tata S, Klai K, Ould Ahmed M'Bareck N. CoopFlow:a bottom-up approach to workflow cooperation for short-term virtual enterprises[J]. Services Computing, IEEE Transactions on,2008,1(4):214-228.
    [137]杜彦华,范玉顺.基于事件-状态-过程规则的跨组织工作流协同方法[J].计算机集成制造系统,2008,14(7):1342-1348.
    [138]DU Y, FAN Y. Collaboration method for inter-organizational workflows based on ESP rules [J][J]. Computer Integrated Manufacturing Systems, 2008,7:12.
    [139]刘明忠,薛恒新,黄慧君,等.支持跨企业协作的柔性工作流系统建模研究[J].计算机集成制造系统,2004,10(11):1356-1363.
    [140]van der Aalst W M P. Inheritance of Interorganizational Workflows:How to agree to disagree without loosing control?[J]. Information Technology and Management,2003,4(4):345-389.
    [141]Sun P, Jiang C. Analysis of workflow dynamic changes based on Petri net[J]. Information and Software Technology,2009,51(2):284-292.
    [142]Rinderle S, Reichert M, Dadam P. Flexible support of team processes by adaptive workflow systems[J]. Distributed and Parallel Databases, 2004,16(1):91-116.
    [143]van der Aalst W M P, Desel J, Oberweis A. Business Process Management Models, Techniques and Empirical Studies.[J].2000.
    [144]Tan W, Fan Y, Zhou M C.A petri net-based method for compatibility analysis and composition of web services in business process execution language[J]. Automation Science and Engineering, IEEE Transactions on, 2009,6(1):94-106.
    [145]Ziparo V A, Iocchi L, Lima P U, et al. Petri net plans[J]. Autonomous Agents and Multi-Agent Systems,2011,23(3):344-383.
    [146]Sun P, Jiang C. Analysis of workflow dynamic changes based on Petri net[J]. Information and Software Technology,2009,51(2):284-292.
    [147]Haddad S, Ili E J M, Klai K. Design and evaluation of a symbolic and abstraction-based model checker[J]. Automated Technology for Verification and Analysis,2004:196-210.
    [148]Klai K, Petrucci L. Modular construction of the symbolic observation graph, 2008[C].
    [149]Murata T. Petri nets:Properties, analysis and applications[J]. Proceedings of the IEEE,1989,77(4):541-580.
    [150]van der Aalst W, de Medeiros A, Weijters A. Process equivalence:Comparing two process models based on observed behavior[J]. Business Process Management, 2006:129-144.
    [151]Gibbons J, Others. Verifying Business Process Compatibility [J].2008.
    [152]Tan W, Fan Y, Zhou M C.A petri net-based method for compatibility analysis and composition of web services in business process execution language[J]. Automation Science and Engineering, IEEE Transactions on, 2009,6(1):94-106.
    [153]Haddad S, Ili E J M, Klai K. Design and evaluation of a symbolic and abstraction-based model checker [J]. Automated Technology for Verification and Analysis,2004:196-210.
    [154]Cheng J C P, Law K H, Bjornsson H, et al. Modeling and monitoring of construction supply chains[J]. Advanced Engineering Informatics, 2010,24(4):435-455.

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