A New search engine ontology for visually impaired users

Akkaya, Ezgi
In today’s world, semantic technology is getting more and more important day by day. After Web 3.0, semantic infrastructure has become a must for internet based systems. In this thesis, we have focused on the semantic basis of search engines. Google, Yahoo, Yandex and Bing are the most popular search engines. All of them have a semantic structure, however the semantics have been developed according to the users who have not any visual impairment. In this study, search engine ontology has been developed according to the visually impaired users’ needs. To this aim, two surveys have been conducted for analyzing requirements and ontology has been developed according to the survey results. A Google search engine interface has been developed according to this ontology by using Google API. Final ontology has been shared with visually impaired users and compared with classic search engine semantics. As a result, visually impaired users have reached needed information faster with new search engine interface. Protégé has been used as an ontology editor and OWL has been chosen as the ontology language. Hermit and Fact++ have been used as reasoners. Developed ontology may be used as a semantic structure of a search engine in the future.


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Citation Formats
E. Akkaya, “A New search engine ontology for visually impaired users,” M.S. - Master of Science, Middle East Technical University, 2015.