A novel geo-context model for mobile learning and self-adaptability ofWeb services
Abstract
Thanks to development of technology and Web has reached its peak.
It touched almost every domain especially the learning.We notice a huge change
has occurred in the methodology and means of information especially in the usage
of mobile dispositive. Thus, its necessary that we model the mo-bile learning
domain so that we can specialize the needs and the modeling rea-lization. In this
domain both the context and the geographic position of a mo-bile learning represent
the two principal concepts for modeling a mobile learning situation. Our
original research is focus on the ontological modeling of a geo-localized context
of a mobile learning. Self adaptability of Web services to the context are
a solution for the integration of distributed, autonomous, and heterogeneous information
systems. Thus impacts can resolve many problems in different system
based on service oriented architecture and Web services. We are interested in
the study of a certain number of context learning models without forgetting the
models of geo-ontology. We suggest a model that allows describing at the same
time the context and the geographic position. This model can be integrated in the
mobile learning environment and it leads to the semantic description and reuse
of information. We show the reasoning and validation of our approach in an archaeological
geo-location case study based on self adaptability of Web services
to the context.