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
Link To Document