DocumentCode
174997
Title
Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead
Author
Sunkle, Sagar ; Rathod, Hemant
Author_Institution
Tata Res. Dev. & Design Center, Tata Consultancy Services, Pune, India
fYear
2014
fDate
1-2 Sept. 2014
Firstpage
182
Lastpage
190
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.
Keywords
application program interfaces; business data processing; decision making; ontologies (artificial intelligence); AS-IS state; TO-BE states; enterprise decision making model; operationalization model; programmable analysis; proprietary metamodeling framework; visual modeling; Analytical models; Business; Computer architecture; Context; Context modeling; Ontologies; Visualization; Adex; Analysis; ArchiMate; Enterprise Modeling; Intentional Modeling; Metamodeling Framework; OpenOME;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW), 2014 IEEE 18th International
Conference_Location
Ulm
Type
conf
DOI
10.1109/EDOCW.2014.36
Filename
6975360
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