Paper Info
Title
An algorithm for identifying the abstract syntax of graph-based diagrams
Abstract
Diagrams play a key role in the information systems domain. However to be meaningful, the diagrams are understood by interpreting visual cues in specific, conventionalized ways, termed conceptual models. One of the major pain points of conceptual models, specified as visual languages, is the inability to capture these visual languages effectively in conventional modeling tools. Instead, conceptual models are drawn using drawing tools and sometimes even by hand. We propose an automatic procedure to derive the syntactic building blocks of graph-based conceptual models. This high-level specification of the visual language can then serve as input for the automatic construction of syntax-aware diagram editors. Our aim is to achieve minimum effort on the part of the users when they eventually work with the graphical editor to produce a new diagram using the proposed syntax.
Year
DOI
Venue
2009
10.1109/VLHCC.2009.5295266
VL/HCC
Keywords
Field
DocType
graph-based diagram,abstract syntax,conventionalized way,syntax-aware diagram editor,conceptual model,conventional modeling tool,automatic construction,visual cue,new diagram,automatic procedure,graph-based conceptual model,visual language,information systems,diagrams,information system,visual cues
Information system,Programming language,Conceptual model,Computer science,Theoretical computer science,Diagram,Artificial intelligence,Natural language processing,Syntax,Sensory cue,Graph,Visual language,Abstract syntax
Conference
ISSN
Citations 
PageRank 
1943-6092
2
0.46
References 
Authors
4
11
Name
Order
Citations
PageRank
Ateret Anaby-Tavor11208.19
David Amid2313.64
Amit Fisher3454.11
Harold Ossher41599193.61
Rachel Bellamy516222.64
Matthew Callery6202.23
Michael Desmond7212.59
Sophia Krasikov8343.02
Tova Roth9506.28
Ian Simmonds10348.45
Jacqueline Vries1181.32