Paper Info
Title
Assisting Process Modeling by Identifying Business Process Elements in Natural Language Texts.
Abstract
Process modeling plays a significant role in the business process lifecycle, as it must stress the quality of process models for supporting all the next steps. However, this phase is time consuming and expensive, a consequence of the huge amount of unstructured input information. In a previous research, we presented an approach for identifying business process elements in natural language texts which facilitate the modeler's work. Such approach relies on a set of mapping rules associated with natural language processing techniques. The identification itself was already validated, but how to apply this information to minimize the modelers' effort remains unclear. Highlighting the identified rules in the text can enhance its comprehensibility. This paper explores the applicability of such mapping rules on supporting the modeler by marked up texts. The validation shows promising results, as the time spent and effort perceived by the modeler were both minimized.
Year
DOI
Venue
2017
10.1007/978-3-319-70625-2_15
ADVANCES IN CONCEPTUAL MODELING, ER 2017
Keywords
Field
DocType
Process models,Natural language processing,Process element,Business process management,Business process model and notation,Process modeling
Business process management,Software engineering,Business process,Computer science,Process modeling,Knowledge management,Natural language,Business process modeling,Business process discovery,Business Process Model and Notation,Database
Conference
Volume
ISSN
Citations 
10651
0302-9743
3
PageRank 
References 
Authors
0.39
14
6
Name
Order
Citations
PageRank
Renato César Borges Ferreira130.39
Lucinéia Heloisa Thom210321.87
José Palazzo Moreira de Oliveira318927.74
Diego Toralles Avila430.39
Rubens Ideron dos Santos530.39
Marcelo Fantinato69522.06