book chapter · Lecture notes in business information processing · 2011
A Modeling Language for Interoperability Assessments
Johan Ullberg, Pontus Johnson, Markus Buschle
Cited by 6Open access
Abstract
Decision-making on issues related to interoperability can be furthered by the use of models of the organization or information system where interoperability is of concern. In order to provide decision-making support, the models should be amenable to analyses. This paper presents a modeling language specifically for interoperability issues where interoperability is defined as the probability that two more actors will be able to exchange information and use that information. The language is coupled with a probabilistic mechanism for automated interoperability assessments of the models created. The paper also presents an example of how the language can be applied.
Cite this paper
Ullberg, J., Johnson, P., & Buschle, M. (2011). A Modeling Language for Interoperability Assessments. Lecture notes in business information processing, 61–74. https://doi.org/10.1007/978-3-642-19680-5_7
Ullberg, Johan, et al. “A Modeling Language for Interoperability Assessments.” Lecture notes in business information processing, 2011, pp. 61–74, https://doi.org/10.1007/978-3-642-19680-5_7.
Ullberg, Johan, Pontus Johnson, and Markus Buschle. 2011. “A Modeling Language for Interoperability Assessments.” Lecture notes in business information processing: 61–74. https://doi.org/10.1007/978-3-642-19680-5_7.
Ullberg, J., Johnson, P. and Buschle, M. (2011) ‘A Modeling Language for Interoperability Assessments’, Lecture notes in business information processing, pp. 61–74. Available at: https://doi.org/10.1007/978-3-642-19680-5_7.
@incollection{ullberg2011modeling,
title = {{A Modeling Language for Interoperability Assessments}},
author = {Ullberg, Johan and Johnson, Pontus and Buschle, Markus},
booktitle = {Lecture notes in business information processing},
pages = {61--74},
year = {2011},
doi = {10.1007/978-3-642-19680-5_7}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.