• DocumentCode
    2444015
  • Title

    A New Method for Parsing Structures of Business Flow Diagram

  • Author

    Weicai Deng ; Jianqiang Sheng ; Guangyuan Huang

  • Author_Institution
    Nat. Eng. Res. Center of Digital Life, State-Province Joint Lab. of Digital Home Interactive Applic., Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    23-25 Nov. 2012
  • Firstpage
    23
  • Lastpage
    27
  • Abstract
    In many business domain, flow diagrams play more and more important roles with which to represent commercial operation process. Many professional persons promote capability of decisions by means of this graphical descriptive tool. One of important issues is that given a diagram how to obtain the similar peer ones in repository or rank them according to designed algorithms. In this paper, we introduce a novel metric algorithm. Compared to previews methods, we focus not only on conventional semantic or syntactic similarity, but also on the nodes order in entire diagram hierarchical relationship. By precisely studying hundreds of diagrams, we conclude that node´s layer order affect the similarity between two diagrams in some fields, such as business diagrams. We integrated layer order weight value and texts information embedded in the node into the flow diagram similarity measure system. Experimental results show that our algorithm is valid and efficient especially when considering layer orders.
  • Keywords
    business data processing; diagrams; business flow diagram; commercial operation process; diagram hierarchical relationship; flow diagram similarity measure system; graphical descriptive tool; layer order weight value; metric algorithm; node order layer; semantic similarity; structure parsing; syntactic similarity; Business; Databases; Heuristic algorithms; Humans; Peer to peer computing; Standards; Vectors; diagram similarity; layer order; weight vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Home (ICDH), 2012 Fourth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1348-3
  • Type

    conf

  • DOI
    10.1109/ICDH.2012.90
  • Filename
    6376378