Paper Info
Title
Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art.
Abstract
In business process modeling, semi-formal models typically rely on natural language to express the labels of model elements. This can easily lead to ambiguities and misinterpretations. To mitigate this issue, the combination of process models with formal ontologies or predefined vocabularies has often been suggested. A cornerstone of such suggestions is to annotate elements from process models with ontologies or predefined vocabularies. Although annotation is suggested in such works, past and current approaches still lack strategies for automating the annotation task which is otherwise labor intensive and prone to errors. In this paper, first an example for use cases is given and then a comprehensive overview of the state of the art of annotation approaches is presented. The paper at hand thus may provide a starting point and basis for researchers engaged in (semi-)automatically linking semi-formal process models with more formal knowledge representations.
Year
DOI
Venue
2017
10.1007/978-3-319-59336-4_6
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Business process,Semantic annotation,Automatic matching
Ontology (information science),Annotation,Use case,Business process,Computer science,Process modeling,Natural language,Natural language processing,Artificial intelligence,Business process modeling,Cornerstone
Conference
Volume
ISSN
Citations 
288
1865-1348
0
PageRank 
References 
Authors
0.34
29
1
Name
Order
Citations
PageRank
Michael Fellmann15118.08