A novel architecture of ontology mapping system for Hidden Web Retrieval

Two ontologies are needed to be mapped in order to make them interoperable. In ontology mapping primary focus is on making the process more efficient in terms of resources consumed during the process. The complexity of matching process is usually varies in accordance with the size of the ontology under consideration. A straightforward approach is to reduce the number of pair-wise comparisons. Out of so many possible concept-pairs only a few are considered for mapping based on the depth of the query-form ontology. These concept-pairs are further reduced to a minimal set by eliminating irrelevant pairs. Once a minimal set of concept pairs is obtained, mapping between these pairs are performed in two steps: First is linguistic mapping and second is structure mapping.