من أجل مواكبة التقدم الهائل لثورة المعلومات و توفرها على الوب تم وضع طرق و اقتراحات من أجل تحسين فعالية عمليات البحث, معظم هذه الحلول ركزت على خوارزميات ترتيب الصفحات (Page Ranking) و معدل تردد الكلمة (Term Freq. ) و لكن التركيز على استخدام علم دلالات الألفاظ و علاقة دلالات الألفاظ مع المحتوى رغم أهميته الكبرى ما زال قليلاً لأسباب مختلفة.
يهدف هذا البحث لإيجاد تصميم محرك بحث يعتمد على علم دلالات الألفاظ Semantics) ( يمكن استخدامه للوصول إلى المعلومات ذات الطبيعة غير البنيوية مثل صفحات الوب, و يساعد في تحسين دقة و فعالية عملية البحث.
تم إجراء مجموعة من الاختبارات لاستنتاج تصميم محرك البحث و تقييم نتائج استخدام علم دلالات الألفاظ في التعامل مع عمليات البحث على صفحات الوب.
There are many methods and suggestions proposed to improve the efficiency of
search in order to catch up with the increasing speed of information boom on the web.
Most of these proposals are concentrated on term frequency and page rank algorithms and
yet very few of them focus on semantic relationship of content.
The objective of this research project is to provide a semantic relationship model that
can be used for semi-structured or unstructured information on the web to help improve the
accuracy and efficiency of search engine.
References used
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schtze. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK, 2008, 482 Pages
Christian Middleton, Ricardo Baeza-Yates. “A Comparison of Open Source Search Engines” 2008,46 Pages
(Semantic Web (2008) Available at: http://en.wikipedia.org/wiki/Semantic_web (Accessed: Nov 2012
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