A Collaborative Inter-Data Grid Strong Semantic Model with Hybrid Namespace

The Data Grid, like all other collaboration models, has strict rules for contributors to follow and many criteria to abide with. Namespace is one of the rules that govern the contributors. Some fields are not ready for abiding with such kinds of global rules. For instance, scientific research taxonomy (down to topics and areas of interest) is highly dynamic. Topics are confusingly interdisciplinary and sometimes have institutional influence. The intention is to design a hybrid namespace collaboration model for existing organizations to pay lower cost (initial and running) in order to join it. Data resources will be allowed to have colliding names. The contributing organization will be free to set any rules for its internal users to follow (such as taxonomy). However, it will have to take care of a very simple interface to the intended model in order to introduce new contributed resources or to query external ones. A hierarchical hybrid namespace will be maintained in order to uniquely identify data resources that have colliding names. Similar and related topics in different places in the hierarchy will be linked by semantic relations to express the degree of similarity and or relevance. Resource explorations should follow the suitable semantic relations while traversing the hierarchy of servers and data grids for more successful search.