Anwar Alhenshiri

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Improving the relevancy of Web search results has been of increasing interest in recent years. The nature of the Web implies heterogeneity, large volumes, and varied structures. Hence, finding results that best suit the needs of every individual is a very challenging problem. Accordingly, interactive graphical and visualization techniques are suggested to(More)
The Web has become the largest available repository of data. The exponential growth and the fast pace of change of the web makes really hard to retrieve all relevant information. The crawling of web pages with speed for finding relevant set of document is perhaps the main bottleneck for Web search engines. There are many factors that affect web search such(More)
The advance of technology has seen increase in applications that integrate new kinds of information, such as multimedia and scientific data, unstructured, semi-structured, structured or heterogeneous data being created and stored is exploding is collectively called “Dataspace”. Data being generated from various heterogeneous sources like, digital images,(More)
The nature of the Web implies heterogeneity, large volumes, and varied structures. Hence, finding results that best suit the needs of every individual in every type of Web task is a very challenging problem. This research presents an interactive Visual Search Engine (VSE) in which both query reformulation and results presentation are visualized. The paper(More)
The fundamental model for Web navigation has not changed much since the beginning of the development of Hypertext and Web search engines. Current browsing allows users to search by formulating queries, entering known URLs, and by navigation by following links embedded in webpages. Considerable research has focused on navigation mechanisms to improve the(More)