Paper Info
Title
Using Semantic Web Technologies for Integrating Domain Specific Modeling and Analytical Tools
Abstract
This paper discusses the potential advantages and pitfalls of using semantic web technologies for representing and integrating modeling and analysis tools. Analytical tools are often not designed to be integrated with information sources and general-purpose modeling tools, and often do not support detection of problems across domains. Additionally, these modeling tools may not capture and represent explicitly the information needed to leverage the capabilities of analysis tools. The method described uses semantic web technology as the integrating mechanism between domain specific modeling (DSM) tools and analytical tools. We describe a method and tool set for representing the analytical knowledge through semantic web ontologies that map between the metamodels of both the DSM and analytical tools. We compare an earlier tool-chain prototype with a significantly revised prototype to reflect on the benefits from using semantic web technologies as an integrating mechanism. A potential advantage is the ability to represent the relationships between modeling and analytical tools explicitly and transparently.
Year
DOI
Venue
2015
10.1016/j.procs.2015.09.174
Procedia Computer Science
Keywords
Field
DocType
domain specific modeling,cyber physical systems,metamodeling,ontologies,semantic web,model-centric engineering ,
Ontology (information science),Data mining,Domain-specific modeling,Computer science,Semantic Web,Semantic analytics,Web modeling,Cyber-physical system,Social Semantic Web,Metamodeling
Conference
Volume
ISSN
Citations 
61
1877-0509
4
PageRank 
References 
Authors
0.47
4
2
Name
Order
Citations
PageRank
Mark Blackburn1456.57
Peter Denno2267.47