A novel design of hidden web crawler using ontology
Manvi, Komal Kumar Bhatia, Ashutosh Dixit

TL;DR
This paper introduces a new Deep Web crawler that leverages ontologies to effectively access hidden web content, addressing a significant challenge in retrieving structured and unstructured data behind HTML forms.
Contribution
The paper presents a novel ontology-based approach for Deep Web crawling, improving access to hidden web content compared to traditional methods.
Findings
Promising performance results demonstrated by evaluation
Effective retrieval of Deep Web content using ontologies
Enhanced access to structured and unstructured hidden data
Abstract
Deep Web is content hidden behind HTML forms. Since it represents a large portion of the structured, unstructured and dynamic data on the Web, accessing Deep-Web content has been a long challenge for the database community. This paper describes a crawler for accessing Deep-Web using Ontologies. Performance evaluation of the proposed work showed that this new approach has promising results.
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