Paper Info
Title
Visual Language and Ontology Based Analysis: Using OWL for Relation Discovery and Query in 4EM.
Abstract
Usually, enterprise models consider different aspects and include different abstraction levels of enterprises. It is hence challenging to integrate these models and to maintain their consistency. In the light of these challenges, ontologies seem to be relevant to complement enterprise models since they are intended to support communication, computational inference, consistency checking, querying, and the organization of knowledge. In our contribution, we demonstrate that Enterprise modelling can benefit from these characteristics. In order to check feasibility and pertinence of ontology-based Enterprise Models, we selected the goal modelling part and its relations to actors and resources from the "For Enterprise Modelling" (4EM) method. In more detail, this paper provides (1) a formal OWL representation of the 4EM Goals meta-model; (2) a discussion of goal relations regarding transitivity and domain specific inference; (3) a formalization of the discussed inference rules; and (4) an analysis of an exemplary goals model instance. This paper extends earlier work on the topic by the introduction of inter-model relations, a discussion of formalization alternatives, and a comparison of query results with and without ontology-based reasoning.
Year
DOI
Venue
2016
10.1007/978-3-319-52464-1_3
Lecture Notes in Business Information Processing
Keywords
Field
DocType
4EM,OWL,Enterprise architecture,Enterprise modelling,Goal modelling,SWRL,SPARQL,Enterprise model analysis,Meta-Modelling
Ontology (information science),Ontology,Query language,Enterprise architecture,Process ontology,Information retrieval,Computer science,Inference,Enterprise modelling,OWL-S
Conference
Volume
ISSN
Citations 
263
1865-1348
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
birger lantow12212.38
Kurt Sandkuhl2522105.61
Michael Fellmann35118.08