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A Novel Approach for Mobile Native App Development Using Ontological Design
Sasmita Pani,Jibitesh Mishra 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.9
Mobile devices are different from desktop based systems in terms of particular execution environment, limited resources, small size and high mobility requirement. Various agile based methodologies are developed for mobile applications such as Mobile-D, Scrum, and MASAM etc. These methodologies are used in building mobile apps. Some of web engineering models or methodologies such as WebE, OOHDM and WebML are also used for developing web apps. But these methodologies are used only for designing web apps but not for mobile apps. These web and mobile apps development models don’t provide structured and semantic representation of data. They don’t provide knowledge of a set of concepts which are relationally arranged with each other. Due to this representation of a particular data is not structured and hence the efficiency of its retrieval is ineffective. These mobile app development methodologies retrieve information from semantic web resources. But they are not concerned with semantic design of data for a mobile native app. Using ontology, data and their properties are arranged and organized in terms of classes, subclasses and object properties. For this propose, Web otology language (OWL) is used for modelling the classes, their subclasses and object properties. OWL DL provides various class axioms and property axioms for modelling data in a structured and semantic manner. The aim of this paper is to develop a model based approach that takes three main components in 3D approach such as context, generic ontology and developments phases for designing mobile application in a semantic way. Depending upon the semantic design, the mobile app will be developed so the user can get meaningful data. This paper also validates the entire 3D model using hypothesis testing against
Tista Mallick,Rukmini Mishra,Sasmita Mohanty,Raj Kumar Joshi 한국식물병리학회 2022 Plant Pathology Journal Vol.38 No.2
Pectobacterium carotovorum subsp. carotovorum (Pcc) is a gram-negative, broad host range bacterial pathogen which causes soft rot disease in potatoes as well as other vegetables worldwide. While Pectobacterium infection relies on the production of major cell wall degrading enzymes, other virulence factors and the mechanism of genetic adaptation of this pathogen is not yet clear. In the present study, we have performed an in-depth genome-wide characterization of Pcc strain ICMP5702 isolated from potato and compared it with other pathogenic bacteria from the Pectobacterium genus to identify key virulent determinants. The draft genome of Pcc ICMP5702 contains 4,774,457 bp with a G + C content of 51.90% and 4,520 open reading frames. Genome annotation revealed prominent genes encoding key virulence factors such as plant cell wall degrading enzymes, flagella-based motility, phage proteins, cell membrane structures, and secretion systems. Whereas, a majority of determinants were conserved among the Pectobacterium strains, few notable genes encoding AvrE-family type III secretion system effectors, pectate lyase and metalloprotease in addition to the CRISPR-Cas based adaptive immune system were uniquely represented. Overall, the information generated through this study will contribute to decipher the mechanism of infection and adaptive immunity in Pcc.