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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Robust Module based Information Management

M Vinaykumar Reddy, S Rajeshwar, , ,
M.Tech (CSE) Department of Computer Science & Engineering, Arjun College of Technology and Science
Associate Professor, Department of Computer Science & Engineering, Arjun College of Technology and Science

The current development in support of structuring associate ontology-based knowledge management system is to require advantage of efforts that were created to intend pre-existing knowledge management systems. In our work we have a tendency to expand ancient definitions of modules and that we established new properties of strength that provide suggests that for checking merely that a strong module-based knowledge management systems evolves firmly relating to each schema additionally as knowledge of the reference knowledge management systems. Differing from ancient works, we've thought-about issue of safe personalization of modules that square measure engineered from existing reference knowledge management systems. In our work, we have a tendency to go back the reprocess of reference ontology-based knowledge management systems so as to place up novel knowledge management systems with precise desires. Typical definitions of modules in literature essentially resort to idea of conservative extension of a schema as an alternative for obtaining relating to non-interesting relations of a schema.

M Vinaykumar Reddy,S Rajeshwar."Robust Module based Information Management". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 12,pp.831-833, December- 2015, URL :,

Keywords : – Data management system, Relations, Robustness, Schema, Personalization

[1] S. Ghilardi, C. Lutz, and F. Wolter, “Did i damage my ontology? a case for conservative extensions in description logics,” in KR, 2006. 
[2] R. Kontchakov, L. Pulina, U. Sattler, T. Schneider, P. Selmer, F. Wolter, and M. Zakharyaschev, “Minimal module extraction from DL-Lite ontologies using QBF solvers,” in IJCAI, 2009. 
[3] Z.Wang, K.Wang, R.W. Topor, and J. Z. Pan, “Forgetting concepts in DL-Lite,” in ESW C, 2008. 
[4] D. Calvanese, G. D. Giacomo, D. Lembo, M. Lenzerini, and R. Rosati, “Tractable reasoning and efficient query answering in description logics: The dllite family,” JAR, vol. 39, no. 3, pp. 385– 429, 2007. 
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DOI Prefix : 10.22362/ijcert

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