IJARP

International Journal of Advanced Research and Publications (2456-9992)

High Quality Publications & World Wide Indexing!

Contextualization Of Enterprise Architecture Business And Application Models Using OWL Visualizer For Complexity Analysis

Volume 4 - Issue 5, May 2020 Edition
[Download Full Paper]

Author(s)
Joe Essien
Keywords
Application Model, Business Models, Enterprise Architecture, Ontology, OWL, Pension, Semantic Reasoners, Traceability.
Abstract
Ontologies are an essential resource for knowledge exemplification. The ontology of a complex system can be intricate due to role relations between several concepts, diverse attributes and incongruent instances. In this paper, the visual analytics clarification, based on different coordinated viewpoints for exploring diverse ontology facets and an innovative deployment of queries to streamline traceability of abstractions is used to moderate the complexity of ontology visual representation. Though many researches have delved into the transformation of Enterprise Architecture models to ontologies, visualization of ontology abstractions have not been exhaustively exemplified especially in the context of system development. One of the major reasons why this is important is the need to effectively align business processes with application framework within organizations, especially those with numerous disparate systems. A method for ensuring the synchronization of the models and ontologies has remained a gap and an open area for more research. The transformed ontologies have not also been rigorously explored in terms of validation and traceability. In this paper, an innovative approach for aligning the business layer and the application layer of ArchiMate is presented to ensure that application can align its functionalities consistently with enterprise goals and motivation. This paper deploys the pension scheme system as a case in context to model the collaboration of business and application layers of an enterprise architecture viewpoint and transforms the viewpoint to ontology that can be queried for better visual analytics perception. The outcome of this work includes an elaborate design phase of enterprise architecture artefacts, and an executable OWL prototype that realizes architecturally significant of the case in context.
References
[1] P.L. Whetzel, et al. NCBO Technology: powering semantically aware applications J. Biomed. Semant., 15 (Suppl. 1) (2013), p. S8

[2] R. Hoehndorf, et al. The role of ontologies in biological and biomedical research: a functional perspective Brief Bioinform., 16 (2015), pp. 1069-1080

[3] Croset, et al. Flexible data integration and curation using a graph-based approach Bioinformatics, 32 (2016), pp. 918-925

[4] D. Gomez-Cabrero, et al. Data integration in the era of omics: current and future challenges BMC Syst. Biol., 8 (Suppl. 2) (2014), p. I1

[5] V. Lapatas, et al. Data integration in biological research: an overview J. Biol. Res., 22 (2015), p. 9

[6] H. Zhang, et al. An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival BMC Med. Inform. Decis. Mak., 18 (Suppl. 2) (2018), p. 4

[7] A.S. Rathore, et al. Role of knowledge management in development and lifecycle management of biopharmaceuticals Pharm. Res., 34 (2017), pp. 243-256

[8] M.P. van Iersel, et al. The BridgeDb framework: standardized access to gene,protein and metabolite identifier mapping services BMC Bioinf., 11 (2010), p. 5

[9] J.M. Mortensen, et al. Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology J. Biomed. Inf., 60 (2016), pp. 199-209

[10] M.R. Kamder, et al. A systematic analysis of term reuse and term overlap across biomedical ontologies Semant. Web, 8 (2017), pp. 853-871

[11] World Wide Web Consortium. "OWL 2 web ontology language document overview." (2012).

[12] Sirin, Evren, et al. "Pellet: A practical owl-dl reasoner." Journal of Web Semantics 5.2 (2007): 51-53.

[13] McGuinness, Deborah L., and Frank Van Harmelen. "OWL web ontology language overview." W3C recommendation 10.10 (2004): 2004.

[14] Horrocks, Ian, and Peter F. Patel-Schneider. "A proposal for an OWL rules language." Proceedings of the 13th international conference on World Wide Web. 2004.

[15] Knublauch, Holger, et al. "The Protégé OWL plugin: An open development environment for semantic web applications." International semantic web conference. Springer, Berlin, Heidelberg, 2004.

[16] Josey, Andrew, et al. "An introduction to the ArchiMate® 3.0 specification." White Paper from The Open Group (2016).

[17] https://archimatetool.gitbook.io/project/archimate-business-layer/business-layer-structure-concepts Accessed 30/03/2020.

[18] https://archimatetool.gitbook.io/project/application-layer/archimate-application-layer-active-layer-concepts, Accessed 30/03/2020.

[19] de Kinderen, Sybren, Khaled Gaaloul, and Henderik A. Proper. "Bridging value modelling to ArchiMate via transaction modelling." Software & Systems Modeling 13.3 (2014): 1043-1057.

[20] Green, Nigel, and Carl Bate. Lost in translation: A handbook for information systems in the 21st century. New York: Evolved Technologist Press, 2007.

[21] Essien, Joe. Model driven validation approach for enterprise architecture and motivation extensions. Diss. University of West London, 2015.

[22] Razzaque, Mohammed Abhur, Simon Dobson, and Paddy Nixon. "Categorization and modelling of quality in context information." (2006).

[23] Born, Matthias, et al. "Business functions ontology and its application in semantic business process modelling." ACIS 2008 Proceedings (2008): 110.

[24] Silva, Isabel Cristina Siqueira, Giuseppe Santucci, and Carla Maria Dal Sasso Freitas. "Visualization and analysis of schema and instances of ontologies for improving user tasks and knowledge discovery." Journal of Computer Languages 51.