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Inf-ProA信息活动过程模型相似性度量方法

Similarity Measurement Method of Inf-ProA Information Activity Process Model
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摘要 随着全军顶层设计工作的开展和推进,在使用Inf-ProA框架及其配套的工具开展军事领域的架构设计工作中逐步积累并形成了一定数量的架构设计模型资产。在架构师进行模型设计时,存在着广泛地参考已有相似模型的需求。然而,现有的架构方法和工具还无法对有参考价值的相似模型进行度量和推荐。本文基于信息活动模型(IAV-1a)的基本架构设计要素,通过对可扩展语言文档以及统一建模语言模型相似性度量的研究,提出一种可用于衡量Inf-ProA信息活动过程模型相似度的方法。对信息活动过程模型的内容和结构方面进行相似性的衡量,并考虑接近模型最终设计结果上的设计相似性,利用架构设计实践经验,使得到的相似性度量结果更具有合理性。该相似性度量的结果可以用于对正在设计的模型提供一个最大化的相似匹配,对推荐给架构师来完成辅助设计具有重要意义。实验结果表明,本文提出的方法可以有效地对信息活动过程模型的相似性进行度量。 With the development and advancement of the top-level design work of the entire army,a certain number of architecture design model assets have been gradually accumulated and formed in the use of the Inf-ProA framework and its supporting tools to carry out architectural design work in the military field.When architects are designing models,there is a wide range of requirements for referencing existing similar models.However,the existing architecture methods and tools are still unable to measure and recommend similar models with reference value.Based on the basic architecture design elements of the Information Activity Model(IAV-1a),through the research of similarity measurement on extensible language documents and unified modeling language model,this article puts forward a method that can be used to measure the similarity of Inf-ProA information activity process model.This method measures the similarity of the content and structure of the information activity process model,and considers the design similarity close to the final design results of the model,and uses the practical experience of architecture design to make the similarity measurement results more reasonable.The result of the similarity measurement can be used to provide a maximum similarity match for the model being designed,which is of great significance for recommending to the architect to complete the auxiliary design.The experimental results show that the method can effectively measure the similarity of the information activity process model.
作者 邹梦苑 樊志强 徐珞 刘洁 梁万路 ZOU Meng-yuan;FAN Zhi-qiang;XU Luo;LIU Jie;LIANG Wan-lu(Innovation Center, North China Institute of Computing Technology, Beijing 100083, China;Academy of Military Sciences, Beijing 100091, China;Intelligent Technology Research Institute of China Electronics Technology Corporation, Beijing 100005, China;Beijing Information Technology Institute, Beijing 100036, China)
出处 《计算机与现代化》 2022年第2期26-32,共7页 Computer and Modernization
基金 中电太极集团技术创新基金资助项目(19010201)。
关键词 体系架构模型 相似度计算 子图同构 architecture model similarity calculation sub-graph isomorphism
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  • 1Algergawy A,Mesiti M,Nayak R,et al.XML Data Clustering:An Overview[J].ACM Computing Surveys,2011,43(4):1-41.
  • 2Lian W,Cheung D W,Mamoulis N,et al.An Efficient and Scalable Algorithm for Clustering XML Documents by Structure[J].IEEE Transactions on Knowledge and Data Engineering,2004,16(1):82-96.
  • 3Zhang K,Statman R,Shasha D.On the editing distance between unordered labeled trees[J].Information Processing Letters,1992,42(3):133-139.
  • 4Tai K C.The Tree-to-Tree Correction Problem[J].Journal of the Association for Computing Machinery,1979,26(3):422-433.
  • 5Joshi S,Agrawal N,Krishnapuram R,et al.A Bag of Paths Model for Measuring Structural Similarity in Web Documents[C]//SIGKDD’03.Washington,DC,USA,2003:577-582.
  • 6Leung H,Chung F,Chan S C.On the use of hierarchical information in sequential mining-based XML document similarity computation[C]//Knowledge and Information Systems,2005:476-498.
  • 7Kurt A,Tozal E.Classification of XSLT-Generated Web Documents with Support Vector Machines[C]//Proc of the 1st Int Workshop on Knowledge Discovery from XML Documents.Singapore:Springer,2006:33-42.
  • 8NIAGARA Experimental Data[DB/OL].http://research.cs.wisc.edu/niagara/data.html.
  • 9杨厚群,何中市,雷景生.基于划分的XML文档聚类研究[J].计算机科学,2008,35(3):183-185. 被引量:4
  • 10朴勇,田伟,王秀坤.一种XML文档结构相似度计算方法[J].控制与决策,2010,25(4):497-501. 被引量:4

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