Paper Info
Title
Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead
Abstract
To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise's decision making models.
Year
DOI
Venue
2014
10.1109/EDOCW.2014.36
EDOC Workshops
Keywords
Field
DocType
proprietary metamodeling framework,application program interfaces,enterprise modeling, intentional modeling, analysis, archimate, openome, adex, metamodeling framework,adex,decision making,enterprise modeling,openome,programmable analysis,intentional modeling,analysis,operationalization model,as-is state,enterprise decision making model,to-be states,archimate,ontologies (artificial intelligence),metamodeling framework,business data processing,visual modeling,context modeling,computer architecture,business,ontologies,visualization
Decision-making models,Ontology (information science),Data mining,Ontology,ArchiMate,Systems engineering,Visual modeling,Computer science,Enterprise modelling,Operationalization,Metamodeling
Conference
ISSN
Citations 
PageRank 
2325-6583
2
0.42
References 
Authors
12
2
Name
Order
Citations
PageRank
Sagar Sunkle111918.43
Hemant Rathod2103.06