An Ontology Based Framework for Automatic Web Resources Identification

Eman Mahmoud, Modern University for Technology and Information, Ashraf Mohamed, October University for Modern Sciences and Arts
2020 International Journal of Intelligent Engineering and Systems  
Search engines' capabilities are improved continually for enhancing the retrieved results and satisfying users' needs. Despite the great efforts in the information retrieval field, the user spends long time in changing the search keywords; though the retrieved results may be out of user's expectation. This may be due to the huge number of web resources, the lack of search keywords for specific domains, and the gap between the user and author in specific domain. This paper proposes a model for
more » ... proving the search engines capabilities through adding level of awareness to the web resources. The model targets the human view about web resources in addition to author perception. This is through automatically extraction of the user's perceptions and mapping them to the resources' based on semantic aspects. The experimental studies realized 36% precision improvement compared to other search engines, and user satisfaction was up to 92%.
doi:10.22266/ijies2020.0430.29 fatcat:yx6bgylmszfzhkowotfd65jkb4