@article{418,
  author = {Anwar Alhenshiri, Stephen Brooks, Carolyn Watters, Michael Shepherd},
  title = {Interactive Visual Search Engine for Web Page Searching},
  journal = {International Journal of Web Applications},
  year = {2011},
  volume = {3},
  number = {1},
  doi = {},
  url = {http://www.dline.info/ijwa/fulltext/v3n1/5.pdf},
  abstract = {The volume of Web content is increasing and hence the heterogeneity also grows. The structure denies the understanding the content which leads to difficulty in obtaining effective results for the end users. Web research now becomes directed to get high relevancy in web searching. One important technique is the introductiopn of the interactive graphical and visualization techniques which enable to handle large numbers of results while simultaneously presenting several attributes for each Web page. Besides the query reformulation and reconstruction is usually controlled by the search engine. In many web search processes, the twin problems are the redundancy and/or irrelevancy. To ensure the effectiveness in the overall search relevance the user is integrated in the process of query reformulation. This study has used the Visual Search Engine (the VSE) where the query reformulation and results presentation are visualized. In the user study, the effectiveness of the VSE was demonstrated when compared to Google.},
}