Deep Web Information Retrieval Process: A Technical Survey
International Journal of Information Technology and Web Engineering
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The information on the Surface Web is supported by the Deep Web, which can not be accessed directly by the search engines or the web crawlers. The only way to access the backend database is through query interface. Automatic extracting query attributes from the query form and automatic translating source queries into target queries is a solvable way for addressing the current limitations in accessing Deep Web data sources. We use the WordNet as a kind of ontology technique to enrich the attributes contained in the semantic form. Because of web semantic constraint provided by the query form, some attributes are co-occurred and the others are exclusive sometimes. To generate a valid query, we have to reconcile the key attributes and their semantic relations. We show a method to find the semantic relation of the attributes in the sources query from and different forms and translate query between different query forms.