A novel Intelligence Approach to Design a Semantic Description Framework for Semantic Grid Resources.
Tamer Ahmed Farrag, Muhammad Faheem · 2013
P The grid can be considered as the base of the modern trends in the field of computing systems. The grid systems suffer from the problem of weakness of the current data models which are used to define the gird resources. These models suffer from the lack of semantics which leads to resources wasting. The lack of semantics yields in misunderstanding of resources information and makes the process of inferring new relations among the grid resources almost not available. The use of the semantic data model makes the information about grid resources not only machine-readable (like the current grid systems) but also machine-understandable. Ongoing to test the efficiency of our new proposed Semantic Description Framework for Semantic Grid Resources, a new approach is introduced in this paper to classify the SWSs. This approach depends on the semantic relations among the different concepts to measure the relative importance value of each concept using a new proposed concepts ranking algorithm (CRA). To apply this approach, a new automatic SWSs classifier (ASWSC) is introduced. ASWSC is a pure semantic based classifier, which does not use any of the traditional classification techniques (such as text mining ,neural, genetic and rough sets). ASWSC is evaluated using 1