Title
MFI Based Interoperability Measurement of Business Models in Service-Based Enterprises
Abstract
Various business models of service-based enterprise exist and are currently used in industry, whilst their definitions, structures, functions, and supporting tools are quite different from each other. For interoperability, the partial semantic interoperability between heterogeneous business models is challenging to achieve. Almost all of the enterprise business models can be described from the four major dimensions: Role, Goal, Process, Service (RGPS), consequently in this paper, a business model of service-based enterprise is actually a specific RGPS model, an approach for measuring the interoperability of RGPS models is proposed. At first, the RGPS interoperability features framework is constructed based on Meta-model Framework of Interoperability (MFI), and it is specified to be the interoperability features set of RGPS models, secondly, the interoperability features set and a mathematical method are proposed to identify and quantify a RGPS model and its interoperability features, then the model instance of the RGPS model is produced, next, we calculate the similarity between two model instances, and obtain the measuring results of interoperability between corresponding RGPS models, which is used to build the interoperability measurement matrix of RGPS models set.
Year
DOI
Venue
2013
10.1109/CIS.2013.82
CIS
Keywords
Field
DocType
open systems,service-based enterprises,metamodel framework of interoperability,partial semantic interoperability,business model,model instance,specific rgps model,matrix algebra,heterogeneous business models,business models,rgps dimension,interoperability feature,mfi based interoperability measurement,mfi,interoperability measurement,interoperability measurement matrix,rgps interoperability,service-based enterprise,corresponding rgps model,business data processing,role-goal-process-service dimension,rgps model,interoperability features
Software engineering,Matrix algebra,Interoperability,Computer science,Business data processing,Semantic interoperability,Business model,Artificial intelligence,Open system (systems theory),Database,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4799-2548-3
1
0.37
References 
Authors
1
4
Name
Order
Citations
PageRank
Zhao Li121.05
Peng Liang257049.57
Yi Zhao311.04
Ke-Qing He442863.80