원문정보
초록
영어
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
목차
1. Introduction
2. Related Works
2.1. Mobile App Development Methodologies
2.2. Web App Development Methodologies
3. Research Approach
4. Proposed 3D Approach for Mobile Native Apps
4.1. Contexts
4.2. Generic Ontology
4.3. Development Phases for Mobile Native Apps
5. Validation of the Proposed Model
5.1. Statistical t-test
6. Discussion
7. Conclusion and Future Work
8. Author Contribution
9. Case Study
References