Search results for: Hikmat A. M. Abd-El-Jaber

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M. Abd-El-Jaber</title> <meta name="description" content="Search results for: Hikmat A. M. Abd-El-Jaber"> <meta name="keywords" content="Hikmat A. M. 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M. Abd-El-Jaber"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Hikmat A. M. Abd-El-Jaber</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> A Weighted-Profiling Using an Ontology Basefor Semantic-Based Search</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Hikmat%20A.%20M.%20Abd-El-Jaber">Hikmat A. M. Abd-El-Jaber</a>, <a href="https://publications.waset.org/search?q=Tengku%20M.%20T.%20Sembok"> Tengku M. T. Sembok</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The information on the Web increases tremendously. A number of search engines have been developed for searching Web information and retrieving relevant documents that satisfy the inquirers needs. Search engines provide inquirers irrelevant documents among search results, since the search is text-based rather than semantic-based. Information retrieval research area has presented a number of approaches and methodologies such as profiling, feedback, query modification, human-computer interaction, etc for improving search results. Moreover, information retrieval has employed artificial intelligence techniques and strategies such as machine learning heuristics, tuning mechanisms, user and system vocabularies, logical theory, etc for capturing user's preferences and using them for guiding the search based on the semantic analysis rather than syntactic analysis. Although a valuable improvement has been recorded on search results, the survey has shown that still search engines users are not really satisfied with their search results. Using ontologies for semantic-based searching is likely the key solution. Adopting profiling approach and using ontology base characteristics, this work proposes a strategy for finding the exact meaning of the query terms in order to retrieve relevant information according to user needs. The evaluation of conducted experiments has shown the effectiveness of the suggested methodology and conclusion is presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=information%20retrieval" title="information retrieval">information retrieval</a>, <a href="https://publications.waset.org/search?q=user%20profiles" title=" user profiles"> user profiles</a>, <a href="https://publications.waset.org/search?q=semantic%20Web" title=" semantic Web"> semantic Web</a>, <a href="https://publications.waset.org/search?q=ontology" title="ontology">ontology</a>, <a href="https://publications.waset.org/search?q=search%20engine." title=" search engine."> search engine.</a> </p> <a href="https://publications.waset.org/14574/a-weighted-profiling-using-an-ontology-basefor-semantic-based-search" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/14574/apa" target="_blank" rel="nofollow" class="btn btn-primary 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Search results for: Hikmat A. M. Abd-El-Jaber