Generating domain specific ontology for retrieving Hidden Web contents

• Published in: 2014 International Conference on Information Systems and Computer Networks (ISCON) pp. 66 - 71
• Main Authors: Manvi, Dixit, Ashutosh, Bhatia, Komal Kumar, Wadhwa, Bhumika
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2014
• Subjects: Awards activities; Crawlers; domain; Educational institutions; hidden web; knowledge base; Knowledge based systems; Ontologies; ontology; Resource description framework
• DOI: 10.1109/ICISCON.2014.6965220

Tremendous information present on the Internet is available only when the user type set of keywords for search for getting the result pages. Those pages are often referred as Hidden Web. The components like hidden Web crawler which wants to retrieve this hidden information has to fill the search interfaces automatically. For automatically filling these types of interfaces precise and relevant information is needed. A database that stores semantic information about objects and their relations may solve this purpose. This database can be defined with the help of Ontology defines common vocabulary. The work presented here mainly focuses on generating domain specific ontology for retrieving hidden Web contents. In this paper a knowledge base of Book domain has created using Protégé. All information stores as knowledge base in form of RDF triples <;subject predicate object>. This Knowledge base may be used in automatically filling up search interfaces for retrieving hidden Web data.