Using Ontology for Search Results Annotation from Web Databases

Annotating search results from many search engines is a big challenge, data encoded in the returned result pages come from the underlying structured databases. Such type of search engines is often referred as Web databases (WDB) search result records (SRRs). Having semantic labels for data units is not only important for the above record linkage task, but also for storing collected SRRs into a database table. Early applications require tremendous human efforts to annotate data units manually, and aligning the data unit as well as text nodes becomes difficult to overcome these proposed consider data alignment problem by using ontology based system .Ontology based system performs after the feature are derived from the text unit nodes and data unit nodes in the feature extraction after that perform the results then we align the data based an ontology. In this research the each self interest server is responsible for computing mappings concerning a specific ontology element, using a specific alignment method. Each self interest server interacts with other self interest server with whom it shares the same data unit concerning the validity of the mappings it computes. Interacting self interest server form a graph, with composed of text nodes and data unit nodes in the search results records (SRR), text nodes representing alignment decisions and utilities, respectively. Self interest server need to reach an agreement to the mapping of the ontology elements consistently to the semantics of specifications with respect to their mapping preferences.